Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition

Author:

Munkhdalai Tsendsuren1,Sim Khe Chai1,Chandorkar Angad1,Gao Fan1,Chua Mason1,Strohman Trevor1,Beaufays Francoise1

Affiliation:

1. Google,USA

Publisher

IEEE

Reference30 articles.

1. Adafactor: Adaptive learning rates with sublinear memory cost;shazeer,2018

2. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

3. Neural machine translation by jointly learning to align and translate;bahdanau,2014

4. Contextual Speech Recognition with Difficult Negative Training Examples

5. Contextual RNN-T for Open Domain ASR

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1. Improving ASR Contextual Biasing with Guided Attention;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Context-Sensitive Adapter: Contextual Biasing for Personalized End-to-End Speech Recognition with Attention Fusion and Bias Filtering;Lecture Notes in Computer Science;2024

3. Contextual Spelling Correction with Large Language Models;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Locality Enhanced Dynamic Biasing and Sampling Strategies For Contextual ASR;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

5. Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR;INTERSPEECH 2023;2023-08-20

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