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1
How much does prosody help word segmentation? A simulation study on infant-directed speech
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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2
Does infant-directed speech help phonetic learning? A machine learning investigation
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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3
Does Infant-Directed Speech Help Phonetic Learning? A Machine Learning Investigation
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4
An analysis of prosodic boundary detection in German and Austrian German read speech
Schuppler, Barbara [Verfasser]; Ludusan, Bogdan [Verfasser]. - Bielefeld : Universitätsbibliothek Bielefeld, 2020
DNB Subject Category Language
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5
A Distributional Analysis of Laughter Across Turns and Utterances
In: Laughter and Other Non-Verbal Vocalisations Workshop: Proceedings (2020); Laughter and Other Non-Verbal Vocalisations Workshop 2020 (2020)
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6
A Distributional Analysis of Laughter Across Turns and Utterances ...
Ludusan, Bogdan; Wesemann, Maik; Wagner, Petra. - : Laughter and Other Non-Verbal Vocalisations Workshop: Proceedings (2020), 2020
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7
An analysis of prosodic boundary detection in German and Austrian German read speech
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8
Nasal Consonant Discrimination in Infant- and Adult-Directed Speech
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9
Are Words Easier to Learn From Infant- Than Adult-Directed Speech? A Quantitative Corpus-Based Investigation
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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10
Different Parts of the same Elephant: a Roadmap to Disentangle and Connect Different Perspectives of Prosodic Prominence
Rousier-Vercruyssen, Lucie; Mancebo, David Escudero; D'Imperio, Mariapaola. - : International Phonetic Association, 2018
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11
The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective
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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12
Are words easier to learn from infant- than adult-directed speech? A quantitative corpus-based investigation ...
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13
Different parts of the same elephant: a roadmap to disentangle and connect different perspectives on prosodic prominence
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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14
Is Syllable Stress Information Robust for ASR in Adverse Conditions?
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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15
Incorporating Prosodic Boundaries in Unsupervised Term Discovery
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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16
Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems
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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17
Bridging the gap between speech technology and natural language processing : an evaluation toolbox for term discovery systems
Ludusan, Bogdan; Versteegh, Maarten; Jansen, Aren. - : Reykjavik, Iceland : Association for Computational Linguistics, 2014
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18
Using Broad Phonetic Classes to Guide Search in Automatic Speech Recognition
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)
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.
Keyword: [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]
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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19
Automatic Speech Segmentation for Italian (ASSI): tools, models, evaluation and applications
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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