Fact-checked by Grok 2 weeks ago

Connected speech

Connected speech refers to the natural phonological modifications and processes that occur when words are pronounced in fluent, continuous , differing from their isolated or forms to facilitate smoother and in . These changes, driven by articulatory and temporal constraints, include reductions in sound forms and variations at word boundaries, enabling more efficient production of utterances in everyday conversation. Key processes in connected speech encompass a range of phenomena that alter sounds across word junctions. Assimilation involves one sound becoming more similar to a neighboring sound for ease of pronunciation, such as the nasal assimilation in "handbag" where /n/ shifts to /m/. Elision or deletion omits sounds entirely, as in "next please" reducing to /neks pliːz/ by dropping the /t/. Linking connects adjacent words without pause, often through consonant-to-vowel liaison like "put it on" becoming /pʊtɪtɒn/, or vowel linking with a glide. Reduction simplifies unstressed syllables or function words, exemplified by "going to" contracting to "gonna" /ɡɒnə/. Additional processes include insertion or intrusion, where extra sounds are added for fluidity, such as an /r/ or /j/ between vowels, and palatalization, altering consonants like /t/ to /tʃ/ before /j/ in "did you." These processes are universal in spoken languages but vary by , speaking rate, and , contributing to the and prosody of natural speech. In English, connected speech is particularly prominent in casual registers, where weak forms of articles, prepositions, and auxiliaries (e.g., "and" as /ən/ or /n/) predominate to maintain flow. Research highlights its role in , as children and second-language learners must these variations for and , with deficits linked to developmental disorders like or . In clinical and educational settings, analyzing connected speech provides insights into cognitive and linguistic abilities, aiding and instruction.

Introduction

Definition

Connected speech refers to the natural, continuous sequence of sounds in that forms utterances or conversations, where words are linked together rather than pronounced in . This contrasts with the forms of individual words, which represent their standard or careful pronunciations as found in dictionaries, often lacking the fluid adjustments typical of everyday . In connected speech, phonetic realizations deviate from these isolated forms due to the demands of rapid and contextual . These modifications arise primarily from coarticulation, the overlapping of articulatory gestures across adjacent sounds, and prosodic features such as , , and intonation that organize the flow of natural speech. Coarticulation allows speakers to anticipate and blend movements for efficiency, resulting in subtle shifts in and timing that enhance the smoothness of production. Prosody, meanwhile, imposes suprasegmental patterns that influence how sounds are compressed or elongated within phrases, reflecting the communicative intent of . A core aspect of connected speech is its occurrence at word boundaries and within larger syntactic units like phrases, where phonological processes—such as —facilitate seamless transitions and contribute to the overall fluency of . These adjustments ensure that speech sounds more natural and intelligible in interaction, distinguishing casual from deliberate, word-by-word .

Historical Development

The concept of connected speech began to receive systematic attention in the 19th century within the emerging field of phonetics, particularly through the work of British phonetician Henry Sweet. In his 1877 Handbook of Phonetics and subsequent publications like The Sounds of English (1888), Sweet provided one of the earliest scientific descriptions of natural spoken English, including how sounds link and modify across word boundaries in continuous discourse, such as the smooth transitions between vowels or consonants in educated London speech (later termed Received Pronunciation). These observations highlighted the distinction between isolated word pronunciation and fluid utterance production, laying foundational groundwork for understanding speech as a connected stream rather than discrete units. Sweet's emphasis on phonetic transcription and organic speech forms influenced the development of the International Phonetic Alphabet and shifted linguistic focus toward empirical analysis of spoken language. In the early 20th century, structuralist phonology advanced the study of connected speech by formalizing boundary phenomena as systematic rules, notably through Leonard Bloomfield's adoption and adaptation of the Sanskrit term "sandhi" for modifications at morpheme or word edges. In his seminal 1933 textbook Language, Bloomfield described these processes—such as assimilation and elision in English and other languages—as morphophonemic alternations that occur in contextual speech, distinguishing them from isolated forms and integrating them into a broader descriptive framework of phonological structure. This approach, drawing from ancient Indian grammatical traditions via Western scholars like Max Müller, treated sandhi-like rules as predictable adjustments in connected discourse, emphasizing empirical observation over prescriptive norms and influencing American structural linguistics. The mid-20th century saw a transformative shift with generative , exemplified by and Morris Halle's (1968), which incorporated optional rules for connected speech forms within a rule-based model of sound derivation. Using boundary symbols (e.g., # for word edges) and cyclic application of transformations, the authors accounted for processes like voicing assimilation, consonant deletion, and across boundaries, treating them as postlexical adjustments that vary optionally based on speech style or . This framework positioned connected speech as an output of underlying representations interacting with syntactic structure, prioritizing universal principles and rule ordering over purely descriptive catalogs. Post-1980s developments integrated connected speech into prosodic and autosegmental frameworks, viewing it as governed by hierarchical domains beyond the word, such as phonological phrases where linking and reductions apply naturally. John Goldsmith's autosegmental phonology (1976, expanded in later works) introduced nonlinear representations for suprasegmentals like tone and prosody, which post-1980s scholars extended to connected speech processing by emphasizing timing and association lines for features in continuous utterances. Complementing this, Marina Nespor and Irene Vogel's Prosodic Phonology (1986) defined a universal prosodic hierarchy (e.g., foot, phonological word, intonation phrase) that constrains speech processes, portraying connected speech as domain-sensitive and integral to natural rhythm and intonation perception. These views underscore connected speech's role in efficient articulation and comprehension, bridging phonology with psycholinguistics.

Phonological Processes

Assimilation

Assimilation is a fundamental phonological process in connected speech, whereby one sound becomes more similar to an adjacent sound in terms of articulatory features, promoting smoother transitions between segments. This phenomenon arises from co-articulation, where the production of neighboring sounds overlaps, influencing each other's realization to minimize articulatory effort. It is particularly prevalent in rapid or casual speech, enhancing fluency while maintaining intelligibility. Assimilation can be classified by direction: regressive (anticipatory), where a sound anticipates and adopts features of the following sound, and (perseverative), where a sound carries over features to the subsequent one. Regressive is more common in English connected speech, often occurring across word boundaries to facilitate easier . For instance, in the phrase "ten pins," the alveolar nasal /n/ shifts to the bilabial nasal /m/ before the bilabial stop /p/, resulting in [tem pɪnz], as the position adjusts in anticipation of the upcoming lip closure. , though less frequent across words, appears in morphological contexts like plural formation, where a preceding voiced consonant causes the suffix /-s/ to realize as /z/ rather than /s/, as in "dogs" pronounced [dɒɡz]. Subtypes of assimilation are distinguished by the phonetic feature involved: place, manner, or voicing. Place assimilation alters the point of articulation, such as when the alveolar /n/ becomes bilabial /m/ before labial consonants like /p/ or /b/ in English, reducing the distance the tongue must travel for the subsequent sound. Manner assimilation changes how the sound is produced, for example, when a stop like /d/ in "good night" assimilates in manner to before /n/, becoming [ɡʊn naɪt]. Voicing assimilation adjusts the vibration of the vocal cords, as seen in regressive cases like "has to," where the voiced fricative /z/ devoices to /s/ before the voiceless /t/, yielding [hæs tə], to align laryngeal settings and simplify airflow control. These subtypes collectively serve to streamline speech production by aligning articulatory gestures, though they differ from related reductions like elision, which involve sound omission rather than modification.

Elision

Elision refers to the omission of one or more sounds in connected speech, primarily to facilitate smoother and more efficient , particularly in rapid or informal contexts. This reduces phonetic complexity, allowing speakers to maintain fluency without pausing between words. In English, elision is a common phonological adjustment that can affect both consonants and vowels, often following or interacting with other es like . Consonant elision typically involves the deletion of stops such as /t/ or /d/ within consonant clusters, especially at word boundaries, to avoid articulatory difficulty. For instance, in the phrase "next stop," the /t/ is omitted, resulting in [neks stɒp] rather than [nekst stɒp]. Similarly, "last call" becomes [lɑːs kɔːl], with the /t/ deleted in the cluster /st k/. Other examples include the loss of /h/ in unstressed positions, as in "give him" pronounced [gɪv ɪm]. This type of elision is prevalent in casual speech and helps streamline pronunciation. Vowel elision, often termed syncope, occurs when unstressed s are dropped, particularly in multisyllabic words during connected speech. A classic example is "every," which reduces from /ˈɛvəri/ to [ˈɛvri] by omitting the . In phrases, this can lead to resyllabification, such as "favor it" sounding like [ˈfeɪvrɪt], where the second is elided to mimic "favorite." Syncope also appears in words like "" as [plɪs] or "different" as [ˈdɪfrənt], simplifying -consonant sequences. In English, elision is governed by phonotactic constraints that prohibit overly complex consonant clusters, typically limiting sequences to two or three consonants while favoring ease of production. For example, in three-consonant clusters like those in "failed test" (/feɪld tɛst/), the /d/ is elided to [feɪl tɛst], adhering to structure preferences. This constraint is especially evident in alveolar stops (/t/, /d/) following other consonants, as in "past tense" becoming [pɑːs tɛns]. Such rules ensure that speech remains perceptually clear despite reductions. Historically, elision has persisted in English through contractions, where sounds are systematically omitted for brevity and have become standardized forms. Examples include "don't" from "do not," with the /u/ vowel elided, or "want to" reduced to [ˈwʌnə]. Contractions like "should've" (from "should have") and informal reductions such as "gimme" (from "give me") reflect this evolutionary trend, embedding elision into everyday lexicon.

Linking

Linking refers to the phonological process in connected speech where sounds at word boundaries are smoothly joined to facilitate fluid , preventing abrupt pauses between words. This phenomenon occurs primarily in fluent speech across languages but is particularly prominent in English, where it helps maintain the language's rhythmic flow by blending adjacent words into a continuous stream. One primary type of linking is - linking, in which a word-final directly attaches to the initial of the following word, treating the as seamless. For instance, the "put on" is pronounced as [pʊtɒn], with the /t/ flowing into the /ɒ/. This process preserves the original sounds without alteration, enhancing prosodic continuity. Vowel-vowel linking, another key type, involves the insertion of a glide to bridge two adjacent s and avoid . When the first is high front (such as /iː/ or /eɪ/), a /j/ glide is typically added; conversely, for high back s (like /uː/ or /əʊ/), a /w/ glide is used. An example is "," realized as [aɪjæm] with the /j/ glide smoothing the transition. These glides are epenthetic s that arise naturally in positions, contributing to the ease of . Linking plays a crucial role in upholding the rhythmic structure of speech by compressing sequences and emphasizing stressed syllables, thereby avoiding unnatural breaks that could disrupt intonation. In English, this includes liaison patterns, a term derived from , which reflect historical influences from on English prosody, such as in formal or borrowed expressions. In non-rhotic accents of English, such as those in Received Pronunciation, intrusive /r/ serves as a linking variant, where an /r/ sound is inserted between vowels even without orthographic support, analogous to linking /r/ after spelled . This occurs after vowels like /ə/, /ɑː/, or /ɔː/ (e.g., "law and order" as [lɔːr ənd ɔːdə]), emerging historically through analogical extension of the r~zero alternation to prevent vowel hiatus. Intrusive /r/ can be viewed as an extension of general linking mechanisms, akin to processes like intrusion detailed elsewhere.

Intrusion

Intrusion refers to the insertion of additional consonant sounds at word boundaries in connected speech, primarily to facilitate smoother transitions between adjacent vowels. This process, also known as in broader phonological terms, occurs when two vowels would otherwise meet directly, creating a that can disrupt fluency. In English, intrusion typically involves the glides /j/ (as in "") or /w/ (as in ""), or the /r/ in non-rhotic accents, inserted to bridge the vowels and enhance the rhythmic flow of rapid speech. The phonetic motivation for intrusion lies in avoiding the awkwardness of , where two s abut without a , which can lead to perceptual or articulatory challenges in natural . By adding these sounds, speakers achieve greater ease in , particularly in fast or informal contexts, as the inserted consonants provide a natural articulatory gesture that mimics the glide-like transitions common in vowel sequences. For instance, in phrases like "I owe you," the /j/ intrudes to yield [aɪ jəʊ juː], while "" may feature an intrusive /r/ as [lɔː rən ˈɔːdə], preventing the direct vowel clash. Similarly, "" can become [ɡəʊ wɒn] with /w/ insertion. These insertions are not represented in and are more prevalent in connected, spontaneous speech than in isolated word . Intrusion is especially common in non-rhotic varieties of English, such as (RP) and many and accents, where the /r/ sound is absent in non-pre-vocalic positions but can epenthesize to resolve . This phenomenon shares similarities with epenthetic processes in other languages, such as the insertion of glides or in or to break vowel sequences, though English intrusion is more variable and dialect-specific. While it parallels linking (where existing sounds connect words), intrusion uniquely adds non-etymological sounds, contributing to the natural variability of spoken English across global dialects.

Examples and Variations

English-Specific Examples

In English connected speech, multiple phonological processes frequently interact at the phrase level to facilitate fluid articulation. A classic example is the compound noun "handbag," which in isolation is /ˈhæn.dbæɡ/ but in natural speech undergoes regressive place assimilation where the alveolar nasal /n/ becomes bilabial /m/ before the bilabial stop /b/, combined with elision of the intervening /d/, yielding [ˈhæm.bæɡ]. This dual process exemplifies how sounds adapt to adjacent consonants for ease of production. Similarly, the phrase "go away" demonstrates linking and intrusion: the word-final diphthong /əʊ/ in "go" links smoothly to the initial schwa /ə/ in "away," with an epenthetic /w/ inserted at the vowel juncture to avoid hiatus, resulting in [ɡəʊ.wəˈweɪ]. Such intrusions, particularly /w/ after back rounded vowels, are common in non-rhotic varieties of English. At the sentence level, connected speech prominently features reductions via contractions and weak forms, which alter stressed syllables and function words for rhythmic efficiency. Consider the idiomatic expression "," where "that will" contracts to /ðætəl/ with the auxiliary reduced to a , "be" retains its strong form /biː/, and the definite article "the" adopts its weak form /ðə/, producing an overall of approximately [ðætəl biː ðə deɪ]. These modifications, including in unstressed positions, are integral to natural English prosody and help maintain speech flow. The prevalence of these connected speech phenomena varies with speech rate and style. In rapid, informal contexts, such as casual conversation, processes like , , and intrusion occur more extensively to economize articulatory effort, whereas slower or formal styles, like , exhibit fewer reductions and more careful enunciation to ensure clarity. However, linking tends to remain consistent across rates and registers.

Cross-Linguistic Comparisons

Connected speech phenomena exhibit both universal tendencies and language-specific variations, reflecting articulatory efficiencies shaped by phonological rules and historical developments. Coarticulation, the overlapping of articulatory gestures across adjacent sounds, is a ubiquitous feature observed in all languages studied to date, facilitating smoother transitions in fluent speech but varying in extent based on segmental and prosodic contexts. In like and its descendant , connected speech is prominently manifested through , a systematic set of phonological adjustments at word boundaries to enhance euphony, including fusion, contraction, and consonant alternation. For instance, in Sanskrit compounds, fusion occurs when adjacent vowels combine, as in rām + ayaṉ yielding rāmāyaṉ (रामायण), where /a + a/ merge to /ā/ to avoid . This process parallels English but is more rule-governed and morphologically integrated in sandhi, often obligatory in formal recitation or compounds, unlike the more variable reductions in English casual speech. French liaison exemplifies a contrasting approach to linking, where a word-final , typically silent in isolation, is obligatorily or optionally pronounced before a vowel-initial word to maintain rhythmic flow, as in les amis [lezami]. This mandatory liaison in certain syntactic contexts, such as determiners before nouns, differs from English linking, which is generally optional and less phonologically constrained, relying more on smooth transitions without resurrecting latent consonants. German demonstrates robust assimilation in connected speech, particularly through final devoicing, a neutralizing voice contrasts in word-final obstruents, rendering underlying voiced stops voiceless, as in Rad [ʁaːt] "wheel." This devoicing extends regressively in sandhi-like contexts, influencing adjacent words and differing from English's partial voicing maintenance in casual reductions. Slavic languages exhibit variations in intrusion, with epenthetic vowels sometimes inserted into complex consonant clusters to aid articulation, though this is more common in acquisition or specific dialects rather than pervasive in adult fluent speech; such processes help satisfy syllable structure constraints across boundaries.

Applications and Implications

In Language Teaching

Teaching connected speech to language learners involves targeted strategies that enhance both and skills. Explicit is a primary , where educators present rules for phonological processes like linking and , followed by practice activities; systematic reviews indicate this approach is employed in over 80% of studies and significantly improves learners' perceptive skills and , particularly when implemented over 2-8 weeks. For instance, minimal pairs contrasting isolated and connected forms—such as "" pronounced separately versus as /hæmbæg/ with —help learners distinguish subtle sound changes, with research showing their use in 23% of connected speech interventions focusing on segmental features. Shadowing exercises, in which learners repeat after native speaker audio in , further support of natural and intonation; studies on EFL learners demonstrate that shadowing enhances of connected speech patterns like reductions and linking, leading to better and fluent output. Learners often face challenges due to from their (L1), which can hinder adoption of English-specific processes; for example, speakers of certain Asian languages like , where is absent or minimal, struggle with sound deletions in connected speech, resulting in over-articulation and reduced intelligibility in and . A common pedagogical approach is to prioritize listening practice before speaking tasks, allowing learners to internalize native patterns without initial pressure to produce, thereby mitigating L1 transfer errors such as failure to consonants to vowels. Recent publications, such as Walker and Archer (2024), advocate using authentic materials like podcasts for receptive training in connected speech. Authentic resources play a crucial role in exposing learners to real-world connected speech. Audio corpora like the provide transcribed spoken samples from diverse contexts, enabling teachers to select examples of natural linking and for targeted listening and discussion activities. This corpus-based approach ensures learners encounter varied, unscripted speech, fostering improved perceptual accuracy without reliance on contrived drills.

In Speech Recognition Technology

Connected speech presents substantial challenges to automatic speech recognition (ASR) systems, primarily due to the phonetic variability introduced by processes like and , which cause sounds to blend or omit in fluent utterances, thereby deviating from isolated word pronunciations. In early ASR efforts, such as IBM's Tangora system developed in the late 1980s and 1990s, these phenomena contributed to high word error rates in continuous speech, as the technology relied on speaker-dependent models ill-equipped for natural coarticulation and required pauses between words for reliable recognition. To mitigate these issues, hidden Markov models (HMMs) emerged as a foundational solution in the and , enabling acoustic modeling that explicitly incorporates connected speech rules through probabilistic sequences of states representing subword units. By concatenating HMMs for phonemes or words, systems could account for temporal dependencies and variations in connected contexts, with training via the Baum-Welch algorithm optimizing parameters to better capture prosodic flow and reduce errors in continuous recognition tasks. Since around 2010, end-to-end deep neural networks have advanced 's treatment of by directly learning from raw audio waveforms, integrating prosody and contextual cues without predefined phonological rules, resulting in over 50% relative reductions in word error rates for natural speech. Neural models like , for instance, compensate for assimilations—such as place changes in nasal consonants—by leveraging minimal phonological context in later transformer layers, though they underutilize semantic information compared to human perception. Contemporary systems, including Google's Cloud Speech-to-Text and OpenAI's Whisper model (as of 2025), apply these end-to-end architectures to handle intrusions and other connected speech elements through contextual language modeling, enhancing accuracy in diverse, real-time applications like . Looking ahead, multilingual ASR initiatives focus on overcoming connected speech challenges across languages, particularly in scenarios prevalent in low-resource settings, to broaden applicability in global contexts.

References

  1. [1]
    [PDF] Evaluating An Instrument For Assessing Connected Speech ...
    Connected speech is a phenomenon in spoken language that collectively includes phonological processes such as reduction, elision, intrusion, assimilation, and ...
  2. [2]
    A systematic review of studies on connected speech processing - NIH
    Nov 29, 2022 · These phonological variations, also known as reduced forms, sandhi variation, or acoustic reductions, are generally defined as connected speech ...
  3. [3]
    Connected Speech – Teaching Pronunciation with Confidence
    We provide some examples of the following types of connected speech: linking, deletion, insertion, modification, reduction, and multiple processes.
  4. [4]
    Processes in Connected Speech - University of Arizona
    Jan 1, 2021 · Connected speech is defined here as any speech in units larger than single words, including phenomena that happen at word boundaries even in careful speech.
  5. [5]
    A handbook of phonetics : Sweet, Henry, 1845-1912 - Internet Archive
    Jun 7, 2008 · by: Sweet, Henry, 1845-1912. Publication date: 1877. Topics: vowels, consonants, vowel, tongue, formed, consonant, glide, sound, english ...Missing: linking | Show results with:linking
  6. [6]
    The sounds of English; an introduction to phonetics - Internet Archive
    Dec 12, 2006 · The sounds of English; an introduction to phonetics. by: Sweet, Henry, 1845-1912. Publication date: 1908. Topics: English language -- Phonetics.Missing: linking | Show results with:linking
  7. [7]
    [PDF] Phonetics and phonology then, and then, and now
    He noticed nasals assimilating to the place of following stops in connected speech and he proposed a “natural” hierarchical classification of the features of ...
  8. [8]
    On (the) sandhi between the Sanskrit and the Modern Western ...
    Jul 10, 2019 · This article traces the history of how modern Western linguistics adopted the term sandhi from the Sanskrit grammatical tradition and adapted it to its ...
  9. [9]
    [PDF] THE SOUND PATTERN OF ENGLISH - MIT
    This study of English sound structure is an interim report on work in progress rather than an attempt to present a definitive and exhaustive study of ...
  10. [10]
  11. [11]
    Full article: Phonological processes in English connected speech
    Connected speech serves to simplify the process of articulation when producing speech. The process is typical of the speech of native speakers, and generally ...
  12. [12]
    [PDF] Assimilation as a Co-articulation Producer in Words and ... - ERIC
    Apr 5, 2016 · According to Collins and Meesi (2013), in many cases of assimilation there is a bidirectional exchange of articulatory traits and that's why.
  13. [13]
    Phonological Processes (Chapter 9) - English Phonetics and ...
    Oct 17, 2025 · Regressive assimilation is the opposite, and we hear in one sound a phonetic feature that is the property of another sound that will only follow ...9.1 Progressive And... · 9.3 Epenthesis... · Table 9.6 Epenthesis...
  14. [14]
    A study of regressive place assimilation in spontaneous speech and ...
    One type of pronunciation variation that occurs in connected speech is regressive place assimilation, in which the final alveolar segment of a word is produced ...
  15. [15]
    Connected Speech: Elision
    Apr 8, 2020 · Elision is the disappearance of sounds in speech, generally considered to make pronouncing complex combinations easier.
  16. [16]
    [PDF] English Phonetic Course Liaison (Linking)
    Basically, there are two types of linking in English: consonant + vowel and vowel. + ... word boundaries is a general feature of connected speech in English. The ...
  17. [17]
    Analogy in the emergence of intrusive-r in English1
    Feb 11, 2013 · The main claim of the article is that intrusive-r in non-rhotic dialects of English is the result of the analogical extension of the r~zero ...
  18. [18]
  19. [19]
  20. [20]
    [PDF] soskuthy-analogy-intrusive-r-2013.pdf - Márton Sóskuthy
    The phenomenon of intrusive-r in various dialects of English has inspired a large number of generative analyses and is surrounded by considerable controversy,.
  21. [21]
    [PDF] Effects of Suprasegmental Phonological Alternations on Early Word ...
    May 3, 2016 · when producing the word 'handbag' [hændbæg] in natural discourse, a probable acoustic realization is the alternating form. 'hambag' [hæmbæg].
  22. [22]
  23. [23]
    [PDF] Coarticulation and Connected Speech Processes
    Coarticulation has been observed in all languages so far analyzed, and can be considered a universal phenomenon, even if it appears to differ among languages.
  24. [24]
    [PDF] Sanskrit Intro Handout 9 - Vowel Sandhi I - Arsha Vidya Gurukulam
    The word sandhi literally means “union, junction, combination, connection.” It refers to the modification of a sound for the purpose of euphony, ...
  25. [25]
    [PDF] External sandhi: what the initial CV is initial of *
    Cases where phonology ap- plies across word boundaries attract specific attention: traditionally they are called (external) sandhi (or connected speech), and ...
  26. [26]
    French Liaison: Linguistic and Sociolinguistic Influences on Speech ...
    French liaison is a phonological process that takes place when an otherwise silent word-final consonant is pronounced before a following vowel-initial word.
  27. [27]
    Liaison and Elision - CliffsNotes
    Liaison refers to the linking of the final consonant of one word with the beginning vowel (a, e, i, o, u) or vowel sound (generally, h and y) to the following ...
  28. [28]
    Evidence for the role of German final devoicing in pre-attentive ...
    Nov 24, 2014 · The change from /d/ in the mental lexical entry /rad/ to [t] in the pronunciation in coda position is called final devoicing (FD). There are ...
  29. [29]
    [PDF] Final Devoicing - UCL Discovery
    This thesis addresses the problem of how to deal with the phonological event of final obstruent devoicing (FOD) in a theoretical framework based on principles ...
  30. [30]
    [PDF] Cross-linguistic patterns of vowel intrusion | CSULB
    Sep 17, 2006 · Gestural representations are superior to traditional representations for modeling vowel intrusion, but insertion of ges- tures and reference to ...
  31. [31]
  32. [32]
    [PDF] Effects of the Shadowing Technique on English Listening ... - ERIC
    Many participants noted that shadowing enhanced their ability to recognize connected speech patterns, such as linking and reductions, which contributed to ...
  33. [33]
    (PDF) Chinese Learners' Pronunciation Problems and Listening ...
    The study investigated the impact of mother tongue on Chinese EFL learners' English pronunciation in making connected speech,and the influence of pronunciation ...<|separator|>
  34. [34]
    [bnc] British National Corpus
    The British National Corpus (BNC1994) is a 100 million word collection of written and spoken British English from the late 20th century.BNC · [bnc] Getting a copy of the BNC · Using · BNC Simple Search withdrawn
  35. [35]
    [PDF] Automatic Speech Recognition – A Brief History of the Technology ...
    Oct 8, 2004 · Since the 1930s, ASR has evolved from simple sound response to natural language. Early recording devices like the graphophone and phonograph ...
  36. [36]
    The early history of voice technologies in 6 short chapters - Dasha.AI
    Sep 25, 2020 · In the 1990's, Dragon Systems presented Dragon NaturallySpeaking – the first continuous speech recognition tool. Which meant no more discrete ...
  37. [37]
    [PDF] A tutorial on hidden Markov models and selected applications in ...
    Typically each such unit is char- acterized by some type of H M M whose parameters are esti- mated from a training set of speech data. The unit matching system ...
  38. [38]
    [2303.03329] End-to-End Speech Recognition: A Survey - arXiv
    Mar 3, 2023 · The goal of this survey is to provide a taxonomy of E2E ASR models and corresponding improvements, and to discuss their properties.
  39. [39]
    Perception of Phonological Assimilation by Neural Speech ...
    This article explores how the neural speech recognition model Wav2Vec2 perceives assimilated sounds, and identifies the linguistic knowledge that is implemented ...
  40. [40]
    Speech-to-Text API: speech recognition and transcription
    Turn speech into text using Google AI. Convert audio into text transcriptions and integrate speech recognition into applications with easy-to-use APIs.Speech-to-Text pricing · Transcribe audio from a video... · Speech-to-Text On-Prem
  41. [41]
    Multilingual and code-switching ASR challenges for low resource ...
    Apr 1, 2021 · In this challenge, we would like to focus on building multilingual and code-switching ASR systems through two different subtasks related to a total of seven ...