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How much does prosody help word segmentation? A simulation study on infant-directed speech
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-03498888 ; Cognition, Elsevier, 2022, 219, pp.104961. ⟨10.1016/j.cognition.2021.104961⟩ (2022)
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Does infant-directed speech help phonetic learning? A machine learning investigation
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03080098 ; Cognitive Science, Wiley, 2021, 45 (5), ⟨10.1111/cogs.12946⟩ (2021)
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Does Infant-Directed Speech Help Phonetic Learning? A Machine Learning Investigation
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A Distributional Analysis of Laughter Across Turns and Utterances
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In: Laughter and Other Non-Verbal Vocalisations Workshop: Proceedings (2020); Laughter and Other Non-Verbal Vocalisations Workshop 2020 (2020)
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A Distributional Analysis of Laughter Across Turns and Utterances ...
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An analysis of prosodic boundary detection in German and Austrian German read speech
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Nasal Consonant Discrimination in Infant- and Adult-Directed Speech
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Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
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In: ISSN: 0364-0213 ; EISSN: 1551-6709 ; Cognitive Science ; https://hal.archives-ouvertes.fr/hal-01888701 ; Cognitive Science, Wiley, 2018, 42 (5), pp.1586 - 1617. ⟨10.1111/cogs.12616⟩ (2018)
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Different Parts of the same Elephant: a Roadmap to Disentangle and Connect Different Perspectives of Prosodic Prominence
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The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
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In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ; https://hal.inria.fr/hal-01687451 ; Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Jul 2017, Vancouver, Canada. ⟨10.18653/v1/P17-2028⟩ (2017)
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Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation ...
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Different parts of the same elephant: a roadmap to disentangle and connect different perspectives on prosodic prominence
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In: 18th International Congress of Phonetic Sciences ; https://halshs.archives-ouvertes.fr/halshs-01687856 ; 18th International Congress of Phonetic Sciences, 2015, Glasgow, United Kingdom (2015)
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Is Syllable Stress Information Robust for ASR in Adverse Conditions?
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In: International Conference on Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01026423 ; International Conference on Speech Prosody, May 2014, Dublin, Ireland. pp.939-943 (2014)
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Incorporating Prosodic Boundaries in Unsupervised Term Discovery
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In: International conference on Speech Prosody ; https://hal.archives-ouvertes.fr/hal-01026421 ; International conference on Speech Prosody, May 2014, Dublin, Ireland. pp.207-211 (2014)
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Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems
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In: Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01026368 ; Language Resources and Evaluation Conference, May 2014, Reykyavik, Iceland (2014)
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Bridging the gap between speech technology and natural language processing : an evaluation toolbox for term discovery systems
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Using Broad Phonetic Classes to Guide Search in Automatic Speech Recognition
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In: Interspeech ; INTERSPEECH - Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-00758427 ; INTERSPEECH - Annual Conference of the International Speech Communication Association, 2012, United States (2012)
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Abstract:
International audience ; This work presents a novel framework to guide the Viterbi decoding process of a hidden Markov model based speech recognition system by means of broad phonetic classes. In a first step, decision trees are employed, along with frame and segment based attributes, in order to detect broad phonetic classes in the speech signal. Then, the detected phonetic classes are used to reinforce paths in the search process, either at every frame or at phonetically significant landmarks. Results obtained on French broadcast news data show a relative improvement in word error rate of about 2% with respect to the baseline.
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Keyword:
[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]
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URL: https://hal.archives-ouvertes.fr/hal-00758427/file/LDASR_interspeech12.pdf https://hal.archives-ouvertes.fr/hal-00758427 https://hal.archives-ouvertes.fr/hal-00758427/document
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Automatic Speech Segmentation for Italian (ASSI): tools, models, evaluation and applications
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In: Convegno dell'Associazione Italiana Scienze della Voce 7 ; https://hal.archives-ouvertes.fr/hal-01514842 ; Convegno dell'Associazione Italiana Scienze della Voce 7, Jan 2011, Lecce, Italy. pp.8 (2011)
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