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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)
Abstract: International audience ; We present a preliminary investigation on the usefulness of prosodic boundaries for unsupervised term discovery (UTD). Studies in language acquisition show that infants use prosodic boundaries to segment continuous speech into word-like units. We evaluate whether such a strategy could also help UTD algo- rithms. Running a previously published UTD algorithm (MODIS) on a corpus of prosodically annotated English broadcast news revealed that many discovered terms straddle prosodic boundaries. We then implemented two variants of this algorithm: one that discards straddling items and one that truncates them to the nearest boundary (either prosodic or pause marker). Both algorithms showed a better term matching F-score compared to the baseline and higher level prosodic boundaries were found to be better than lower level boundaries or pause markers. In addition, we observed that the truncation algorithm, but not the discard algorithm, increased word boundary F-score over the baseline.
Keyword: [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]
URL: https://hal.archives-ouvertes.fr/hal-01026421
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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)
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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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