A prosody-based approach to end-of-utterance detection that does not require speech recognition

Author:

Ferrer L.,Shriberg E.,Stolcke A.

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Two-Pass Endpoint Detection for Speech Recognition;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

2. Adaptive Endpointing with Deep Contextual Multi-Armed Bandits;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Dynamic Speech Endpoint Detection with Regression Targets;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Improved weighted loss function for training end-of-speech detection models;Proceedings of the 18th International Conference on Advances in Mobile Computing & Multimedia;2020-11-30

5. A New Model to Enhance Robot-Patient Communication: Applying Insights from the Medical World;Social Robotics;2018

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