Phonological Parsing in Speech Recognition:
It is well-known that phonemes have different acoustic realizations depending on the context. Thus, for example, the phoneme /t! is typically realized with a heavily aspirated strong burst at the beginning of a syllable as in the word Tom, but without a burst at the end of a syllable in a word like...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1987
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Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science, VLSI, Computer Architecture and Digital Signal Processing
38 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | It is well-known that phonemes have different acoustic realizations depending on the context. Thus, for example, the phoneme /t! is typically realized with a heavily aspirated strong burst at the beginning of a syllable as in the word Tom, but without a burst at the end of a syllable in a word like cat. Variation such as this is often considered to be problematic for speech recogni tion: (1) "In most systems for sentence recognition, such modifications must be viewed as a kind of 'noise' that makes it more difficult to hypothesize lexical candidates given an in put phonetic transcription. To see that this must be the case, we note that each phonological rule [in a certain example] results in irreversible ambiguity-the phonological rule does not have a unique inverse that could be used to recover the underlying phonemic representation for a lexical item. For example, . . . schwa vowels could be the first vowel in a word like 'about' or the surface realization of almost any English vowel appearing in a sufficiently destressed word. The tongue flap [(] could have come from a /t! or a /d/. " [65, pp. 548-549] This view of allophonic variation is representative of much of the speech recognition literature, especially during the late 1970's. One can find similar statements by Cole and Jakimik [22] and by Jelinek [50] |
Beschreibung: | 1 Online-Ressource (272 p) |
ISBN: | 9781461320135 |
DOI: | 10.1007/978-1-4613-2013-5 |
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520 | |a It is well-known that phonemes have different acoustic realizations depending on the context. Thus, for example, the phoneme /t! is typically realized with a heavily aspirated strong burst at the beginning of a syllable as in the word Tom, but without a burst at the end of a syllable in a word like cat. Variation such as this is often considered to be problematic for speech recogni tion: (1) "In most systems for sentence recognition, such modifications must be viewed as a kind of 'noise' that makes it more difficult to hypothesize lexical candidates given an in put phonetic transcription. To see that this must be the case, we note that each phonological rule [in a certain example] results in irreversible ambiguity-the phonological rule does not have a unique inverse that could be used to recover the underlying phonemic representation for a lexical item. For example, . . . schwa vowels could be the first vowel in a word like 'about' or the surface realization of almost any English vowel appearing in a sufficiently destressed word. The tongue flap [(] could have come from a /t! or a /d/. " [65, pp. 548-549] This view of allophonic variation is representative of much of the speech recognition literature, especially during the late 1970's. One can find similar statements by Cole and Jakimik [22] and by Jelinek [50] | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Church, Kenneth W. |
author_facet | Church, Kenneth W. |
author_role | aut |
author_sort | Church, Kenneth W. |
author_variant | k w c kw kwc |
building | Verbundindex |
bvnumber | BV045185475 |
collection | ZDB-2-ENG |
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dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.382 |
dewey-search | 621.382 |
dewey-sort | 3621.382 |
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discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-1-4613-2013-5 |
format | Electronic eBook |
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id | DE-604.BV045185475 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:55Z |
institution | BVB |
isbn | 9781461320135 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574653 |
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publishDate | 1987 |
publishDateSearch | 1987 |
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publisher | Springer US |
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series2 | The Kluwer International Series in Engineering and Computer Science, VLSI, Computer Architecture and Digital Signal Processing |
spelling | Church, Kenneth W. Verfasser aut Phonological Parsing in Speech Recognition by Kenneth W. Church Boston, MA Springer US 1987 1 Online-Ressource (272 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science, VLSI, Computer Architecture and Digital Signal Processing 38 It is well-known that phonemes have different acoustic realizations depending on the context. Thus, for example, the phoneme /t! is typically realized with a heavily aspirated strong burst at the beginning of a syllable as in the word Tom, but without a burst at the end of a syllable in a word like cat. Variation such as this is often considered to be problematic for speech recogni tion: (1) "In most systems for sentence recognition, such modifications must be viewed as a kind of 'noise' that makes it more difficult to hypothesize lexical candidates given an in put phonetic transcription. To see that this must be the case, we note that each phonological rule [in a certain example] results in irreversible ambiguity-the phonological rule does not have a unique inverse that could be used to recover the underlying phonemic representation for a lexical item. For example, . . . schwa vowels could be the first vowel in a word like 'about' or the surface realization of almost any English vowel appearing in a sufficiently destressed word. The tongue flap [(] could have come from a /t! or a /d/. " [65, pp. 548-549] This view of allophonic variation is representative of much of the speech recognition literature, especially during the late 1970's. One can find similar statements by Cole and Jakimik [22] and by Jelinek [50] Engineering Signal, Image and Speech Processing Phonology Artificial Intelligence (incl. Robotics) Computational Linguistics Artificial intelligence Computational linguistics Automatische Spracherkennung (DE-588)4003961-4 gnd rswk-swf Phonetik (DE-588)4045830-1 gnd rswk-swf Silbe (DE-588)4169762-5 gnd rswk-swf Automatische Spracherkennung (DE-588)4003961-4 s Phonetik (DE-588)4045830-1 s 1\p DE-604 Silbe (DE-588)4169762-5 s 2\p DE-604 Erscheint auch als Druck-Ausgabe 9781461292005 https://doi.org/10.1007/978-1-4613-2013-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Church, Kenneth W. Phonological Parsing in Speech Recognition Engineering Signal, Image and Speech Processing Phonology Artificial Intelligence (incl. Robotics) Computational Linguistics Artificial intelligence Computational linguistics Automatische Spracherkennung (DE-588)4003961-4 gnd Phonetik (DE-588)4045830-1 gnd Silbe (DE-588)4169762-5 gnd |
subject_GND | (DE-588)4003961-4 (DE-588)4045830-1 (DE-588)4169762-5 |
title | Phonological Parsing in Speech Recognition |
title_auth | Phonological Parsing in Speech Recognition |
title_exact_search | Phonological Parsing in Speech Recognition |
title_full | Phonological Parsing in Speech Recognition by Kenneth W. Church |
title_fullStr | Phonological Parsing in Speech Recognition by Kenneth W. Church |
title_full_unstemmed | Phonological Parsing in Speech Recognition by Kenneth W. Church |
title_short | Phonological Parsing in Speech Recognition |
title_sort | phonological parsing in speech recognition |
topic | Engineering Signal, Image and Speech Processing Phonology Artificial Intelligence (incl. Robotics) Computational Linguistics Artificial intelligence Computational linguistics Automatische Spracherkennung (DE-588)4003961-4 gnd Phonetik (DE-588)4045830-1 gnd Silbe (DE-588)4169762-5 gnd |
topic_facet | Engineering Signal, Image and Speech Processing Phonology Artificial Intelligence (incl. Robotics) Computational Linguistics Artificial intelligence Computational linguistics Automatische Spracherkennung Phonetik Silbe |
url | https://doi.org/10.1007/978-1-4613-2013-5 |
work_keys_str_mv | AT churchkennethw phonologicalparsinginspeechrecognition |