Automatic speech recognition with deep neural networks for impaired speech
Visualitza/Obre
10.1007/978-3-319-49169-1_10
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/103823
Tipus de documentText en actes de congrés
Data publicació2016
EditorSpringer
Condicions d'accésAccés obert
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ProjectePrograma segunda voz (MINECO-IPT-2012-0914-300000)
TECNOLOGIAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ Y AUDIO (MINECO-TEC2015-69266-P)
TECNOLOGIAS DE APRENDIZAJE PROFUNDO APLICADAS AL PROCESADO DE VOZ Y AUDIO (MINECO-TEC2015-69266-P)
Abstract
Automatic Speech Recognition has reached almost human performance in some controlled scenarios. However, recognition of impaired speech is a difficult task for two main reasons: data is (i) scarce and (ii) heterogeneous. In this work we train different architectures on a database of dysarthric speech. A comparison between architectures shows that, even with a small database, hybrid DNN-HMM models outperform classical GMM-HMM according to word error rate measures. A DNN is able to improve the recognition word error rate a 13% for subjects with dysarthria with respect to the best classical architecture. This improvement is higher than the one given by other deep neural networks such as CNNs, TDNNs and LSTMs. All the experiments have been done with the Kaldi toolkit for speech recognition for which we have adapted several recipes to deal with dysarthric speech and work on the TORGO database. These recipes are publicly available.
Descripció
The final publication is available at https://link.springer.com/chapter/10.1007%2F978-3-319-49169-1_10
CitacióEspaña-i-Bonet, C., Fonollosa, J. A. R. Automatic speech recognition with deep neural networks for impaired speech. A: International Conference on Advances in Speech and Language Technologies for Iberian Languages. "Advances in Speech and Language Technologies for Iberian Languages: Third International Conference, IberSPEECH 2016: Lisbon, Portugal, November 23-25, 2016: proceedings". Lisbon: Springer, 2016, p. 97-107.
ISBN978-3-319-49169-1
Versió de l'editorhttps://link.springer.com/chapter/10.1007%2F978-3-319-49169-1_10
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