Search Results for author:
Found 2 papers, 0 papers with code
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs
Our raw waveform acoustic models consists of parametric (Sinc2Net) or non-parametric CNNs and Bidirectional LSTMs, achieving down to 13. 7%/15. 2% PERs on TIMIT Dev/Test sets, outperforming reported PERs for raw waveform models in the literature.
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
