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Learning speech embeddings for speaker adaptation and speech understanding
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Towards unsupervised learning of speech features in the wild
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In: SLT 2020 : IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070411 ; SLT 2020 : IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020)
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Achieving Multi-Accent ASR via Unsupervised Acoustic Model Adaptation
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In: INTERSPEECH 2020 ; https://hal.inria.fr/hal-02907929 ; INTERSPEECH 2020, Oct 2020, Shanghai, China (2020)
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Preschoolers' Attention to Emotional Prosody as a Function of Speaker Conventionality ...
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Learning to adapt: meta-learning approaches for speaker adaptation
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Introducing Phonetic Information to Speaker Embedding for Speaker Verification
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In: Electrical and Computer Engineering Faculty Publications (2019)
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Speaker-Adapted Confidence Measures for ASR using Deep Bidirectional Recurrent Neural Networks
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Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping
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In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.archives-ouvertes.fr/hal-01485540 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (3), pp.662-673. ⟨10.1109/TASLP.2017.2651398⟩ (2017)
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Articulatory representations to address acoustic variability in speech ...
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Articulatory representations to address acoustic variability in speech
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Adaptation au locuteur pour la séparation de la parole par NMF
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In: https://hal.sorbonne-universite.fr/hal-01482183 ; [Stage] STMS - Sciences et Technologies de la Musique et du Son UMR 9912 IRCAM-CNRS-UPMC. 2016 (2016)
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Iterative PLDA Adaptation for Speaker Diarization
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In: Interspeech 2016 ; https://hal.archives-ouvertes.fr/hal-01433172 ; Interspeech 2016, Sep 2016, San Francisco, United States. pp.2175 - 2179, ⟨10.21437/Interspeech.2016-572⟩ (2016)
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Speaker-dependent Multipitch Tracking Using Deep Neural Networks
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Phonetic reduction in spontaneous speech by children aged 9-14 years
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In: Presented at: 18th International Congress of Phonetic Sciences, Glasgow, UK. (2015) (2015)
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Abstract:
The aim of our study was to investigate whether children distinguish between ‘new’ and ‘given’ information via phonetic reduction in spontaneous speech in a similar way to adults. An interactive ‘spot the difference’ game was used to elicit spontaneous speech. Word duration, fundamental frequency and vowel formant frequencies in repeated content words relative to when they were mentioned for the first time were analysed in 96 children between 9-14 years of age. There were significant developmental changes in the three acoustic-phonetic parameters between children and adults. Children produced longer words, had higher median pitch and vowel formant values than adults. However, despite these differences in spontaneous speech between children and adults, we report that, by 9 years of age (and possibly earlier), children produce phonetic reduction to higlight 'new/given' information distinction in spontaneous speech dialogues in an adult-like manner.
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Keyword:
child speech production; second-mention reduction; speaker adaptation; Spontaneous speech
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URL: http://discovery.ucl.ac.uk/1470560/1/Tuomainen%20et%20al%20412%20ICPhS%202015.pdf http://discovery.ucl.ac.uk/1470560/
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The Acquisition of Vowel Normalization during Early Infancy: Theory and Computational Framework
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388689249 (2014)
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'All the better for not seeing you': effects of communicative context on the speech of an individual with acquired communication difficulties.
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In: J Commun Disord , 46 (5-6) 475 - 483. (2013) (2013)
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Contributions to Adaptation on Automatic Speech Recognition and Multilingual Handwritten Text Recognition
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