Monotonic Segmental Attention for Automatic Speech Recognition

Author:

Zeyer Albert1,Schmitt Robin1,Zhou Wei1,Schluter Ralf1,Ney Hermann1

Affiliation:

1. RWTH Aachen University,Human Language Technology and Pattern Recognition,Computer Science Department,Aachen,Germany,52062

Funder

Federal Ministry of Education and Research BMBF

Publisher

IEEE

Reference60 articles.

1. End-to-end attention-based large vocabulary speech recognition

2. Training Language Models for Long-Span Cross-Sentence Evaluation

3. Monotonic Infinite Lookback Attention for Simultaneous Machine Translation

4. Rasr - the rwth aachen university open source speech recognition toolkit;rybach;IEEE Automatic Speech Recognition and Understanding Workshop,2011

5. Local monotonic attention mechanism for end-to-end speech and language processing;tjandra;IJCNLP,0

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2. Improving Multi-Speaker ASR With Overlap-Aware Encoding And Monotonic Attention;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Advanced Long-Content Speech Recognition With Factorized Neural Transducer;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. End-to-End Speech Recognition: A Survey;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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