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TALC seminar : Neil Zeghidour (Facebook & ENS)

mai 30 @ 14:00 - 15:30

Neil Zeghidour (Facebook AI Research & Ecole Normale Supérieure) will give a talk in the TALC Seminar (Department 4) on May Wednesday the 10th at 2.00 pm in room C005.

The title is : “End-to-end speech recognition from the raw waveform”.

Abstract :

State-of-the-art speech recognition systems rely on fixed, hand-crafted features such as mel-filterbanks to preprocess the waveform before the training pipeline. We study end-to-end systems trained directly from the raw waveform, introducing a trainable replacement of mel-filterbanks that uses a convolutional architecture, based on the scattering transform. These time-domain filterbanks (TD-filterbanks) are initialized as an approximation of melfilterbanks, and then fine-tuned jointly with the remaining convolutional architecture. We perform phone recognition experiments on TIMIT and show that models trained on TD-filterbanks consistently outperform their counterparts trained on comparable mel-filterbanks. We then improve this model and another frontend previously proposed and based on gammatones. We perform open vocabulary experiments on Wall Street Journal and show a consistent and significant improvement in Word Error Rate of our trainable frontends over mel-filterbanks, even with random initialization.


Date :
mai 30
Heure :
14:00 - 15:30
Catégorie d’Évènement:

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