Christian Puhrsch — accepted AI-conference papers

2022

Torchaudio: Building Blocks for Audio and Speech Processing

Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Artyom Astafurov, Caroline Chen, Christian Puhrsch +12

ICASSP 2022accepted

This document describes version 0.10 of TorchAudio: building blocks for machine learning applications in the audio and speech processing domain. The objective of TorchAudio is to accelerate the development and deployment of machine learning applications for researchers and engineers by providing off…

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2016

Very deep multilingual convolutional neural networks for LVCSR

Tom Sercu, Christian Puhrsch, Brian Kingsbury, Yann LeCun

ICASSP 2016accepted

Convolutional neural networks (CNNs) are a standard component of many current state-of-the-art Large Vocabulary Continuous Speech Recognition (LVCSR) systems. However, CNNs in LVCSR have not kept pace with recent advances in other domains where deeper neural networks provide superior performance. In…

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