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20182023
most citedDeep Learning for Audio Signal Processing

859 citations · 914 across the 21 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SD2023

Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers

Guru Prakash Arumugam, Shuo-yiin Chang, Tara N. Sainath +3

ASR models often suffer from a long-form deletion problem where the model predicts sequential blanks instead of words when transcribing a lengthy audio (in the order of minutes or…

eess.AS2023

Towards General-Purpose Text-Instruction-Guided Voice Conversion

Chun-Yi Kuan, Chen An Li, Tsu-Yuan Hsu +5

This paper introduces a novel voice conversion (VC) model, guided by text instructions such as "articulate slowly with a deep tone" or "speak in a cheerful boyish voice". Unlike tr…

cs.CL2023

Text Injection for Capitalization and Turn-Taking Prediction in Speech Models

Shaan Bijwadia, Shuo-yiin Chang, Weiran Wang +3

Text injection for automatic speech recognition (ASR), wherein unpaired text-only data is used to supplement paired audio-text data, has shown promising improvements for word error…

cs.CL2023

Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR

W. Ronny Huang, Hao Zhang, Shankar Kumar +2

We propose a method of segmenting long-form speech by separating semantically complete sentences within the utterance. This prevents the ASR decoder from needlessly processing fara…

eess.AS2023

UML: A Universal Monolingual Output Layer for Multilingual ASR

Chao Zhang, Bo Li, Tara N. Sainath +2

Word-piece models (WPMs) are commonly used subword units in state-of-the-art end-to-end automatic speech recognition (ASR) systems. For multilingual ASR, due to the differences in…