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The BioVisualSpeech corpus of words with sibilants for speech therapy games development
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The INESC-ID Multi-Modal System for the ADReSS 2020 Challenge ...
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Cross lingual transfer learning for zero-resource domain adaptation ...
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Combining Multiple Approaches to Predict the Degree of Nativeness
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Automatic Recognition of Prosodic Patterns in Semantic Verbal Fluency Tests - an Animal Naming Task for Edutainment Applications
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ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
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Predicting disordered speech comprehensibility from Goodness of Pronunciation scores
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In: Proceedings of SLPAT 2015 ; Workshop on Speech and Language Processing for Assistive Technologies (SLPAT 2015) satellite workshop of Interspeech 2015 ; https://hal.archives-ouvertes.fr/hal-01316846 ; Workshop on Speech and Language Processing for Assistive Technologies (SLPAT 2015) satellite workshop of Interspeech 2015, Sep 2015, Dresden, Germany. pp. 1-5 (2015)
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Correlating ASR Errors with Developmental Changes in Speech Production: A Study of 3-10-Year-Old European Portuguese Children's Speech
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In: Proceedings of the Workshop on Child Computer Interaction ; Workshop on Child Computer Interaction - WOCCI 2014 ; https://hal.archives-ouvertes.fr/hal-01152655 ; Workshop on Child Computer Interaction - WOCCI 2014, Sep 2014, Singapore, Singapore. pp. 1-7 (2014)
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Abstract:
International audience ; Automatically recognising children's speech is a very difficult task. This difficulty can be attributed to the high variability in children's speech, both within and across speakers. The variability is due to developmental changes in children's anatomy, speech production skills et cetera, and manifests itself, for example, in fundamental and formant frequencies, the frequency of disfluencies, and pronunciation quality. In this paper, we report the results of acoustic and auditory analyses of 3-10-year-old European Portuguese children's speech. Furthermore, we are able to correlate some of the pronunciation error patterns revealed by our analyses - such as the truncation of consonant clusters - with the errors made by a children's speech recogniser trained on speech collected from the same age group. Other pronunciation error patterns seem to have little or no impact on speech recognition performance. In future work, we will attempt to use our findings to improve the performance of our recogniser.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; Acoustic analysis; Auditory analysis; Automatic speech recognition; Children’s speech; Error analysis; European Portuguese; Pronunciation quality
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URL: https://hal.archives-ouvertes.fr/hal-01152655 https://hal.archives-ouvertes.fr/hal-01152655/document https://hal.archives-ouvertes.fr/hal-01152655/file/Hamalainen_13251.pdf
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Automatically Recognising European Portuguese Children's Speech
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In: Computational Processing of the Portuguese Language ; International Conference on Computational Processing of Portuguese - PROPOR 2014 ; https://hal.archives-ouvertes.fr/hal-01146745 ; International Conference on Computational Processing of Portuguese - PROPOR 2014, Oct 2014, São Carlos, Brazil. pp. 1-11 (2014)
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The 2013 speaker recognition evaluation in mobile environment
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In: Proceedings ICB 2013 : 6th IAPR International Conference on Biometrics ; ICB 2013 : 6th IAPR International Conference on Biometrics ; https://hal.archives-ouvertes.fr/hal-01262087 ; ICB 2013 : 6th IAPR International Conference on Biometrics, Jun 2013, Madrid, Spain. pp.1 - 8, ⟨10.1109/ICB.2013.6613025⟩ (2013)
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