Search Results for author: Nathan Susanj

Found 7 papers, 0 papers with code

Sub-8-bit quantization for on-device speech recognition: a regularization-free approach

no code implementations17 Oct 2022 Kai Zhen, Martin Radfar, Hieu Duy Nguyen, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris

For on-device automatic speech recognition (ASR), quantization aware training (QAT) is ubiquitous to achieve the trade-off between model predictive performance and efficiency.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition

no code implementations29 Sep 2022 Martin Radfar, Rohit Barnwal, Rupak Vignesh Swaminathan, Feng-Ju Chang, Grant P. Strimel, Nathan Susanj, Athanasios Mouchtaris

Very recently, as an alternative to LSTM layers, the Conformer architecture was introduced where the encoder of RNN-T is replaced with a modified Transformer encoder composed of convolutional layers at the frontend and between attention layers.

speech-recognition Speech Recognition

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