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A Comparison of Hybrid and End-to-End ASR Systems for the IberSpeech-RTVE 2020 Speech-to-Text Transcription Challenge
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In: Applied Sciences; Volume 12; Issue 2; Pages: 903 (2022)
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| 2 |
Using Data Augmentation and Time-Scale Modification to Improve ASR of Children’s Speech in Noisy Environments
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In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
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| 3 |
Parametric synthesis of Arabic speech ; Synthèse paramétrique de la parole Arabe
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In: https://hal.univ-lorraine.fr/tel-03050597 ; Traitement du signal et de l'image [eess.SP]. Université de Lorraine; Université de Tunis El Manar (Tunisie), 2020. Français. ⟨NNT : 2020LORR0116⟩ (2020)
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| 4 |
Controlling the voice quality dimension of prosody in synthetic speech using an acoustic glottal model
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MURPHY, ANDREW. - : Trinity College Dublin. School of Linguistic Speech & Comm Sci. C.L.C.S., 2020
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| 6 |
MISPRONUNCIATION DETECTION AND DIAGNOSIS IN MANDARIN ACCENTED ENGLISH SPEECH
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In: Theses and Dissertations--Electrical and Computer Engineering (2020)
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| 7 |
Duration modeling using DNN for Arabic speech synthesis
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In: 9th International Conference on Speech Prosody ; https://hal.inria.fr/hal-01889917 ; 9th International Conference on Speech Prosody, Jun 2018, Poznań, Poland (2018)
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| 8 |
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
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| 10 |
A Deep HMM model for multiple keywords spotting in handwritten documents
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In: ISSN: 1433-7541 ; EISSN: 1433-755X ; Pattern Analysis and Applications ; https://hal.archives-ouvertes.fr/hal-01089151 ; Pattern Analysis and Applications, Springer Verlag, 2015, 18 (4), pp.1003-1015 (2015)
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| 11 |
Listening test materials for "A study of speaker adaptation for DNN-based speech synthesis" ...
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Unkn Unknown. - : University of Edinburgh. The Centre for Speech Technology Research (CSTR), 2015
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| 12 |
Exploring Deep Learning Methods for Discovering Features in Speech Signals
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| 13 |
Pipelined back-propagation for context-dependent deep neural networks
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In: http://mi.eng.cam.ac.uk/~xc257/papers/Pipelined_DNN.pdf (2012)
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| 14 |
THE INFLUENCE OF PITCH AND NOISE ON THE DISCRIMINABILITY OF FILTERBANK FEATURES
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In: http://www.slaney.org/malcolm/Microsoft/Slaney2014%28InfluencePitchNoiseFilterbankFeaturesAtInterspeech%29.pdf
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