Neural Transducer Training: Reduced Memory Consumption with Sample-Wise Computation-Reference-Cited by-同舟云学术

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Neural Transducer Training: Reduced Memory Consumption with Sample-Wise Computation

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Braun Stefan¹,McDermott Erik¹,Hsiao Roger¹

Affiliation:

1. Apple

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095544.pdf?arnumber=10095544

Reference18 articles.

1. Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow

2. NeMo: a Toolkit for building AI Applications using Neural Modules;kuchaiev,2019

3. TorchAudio: Building Blocks for Audio and Speech Processing;yang,2021

4. Pruned RNN-T for fast, memory-eﬀicient ASR training

5. Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR

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