activity
20172026
most citedTransformer-based Acoustic Modeling for Hybrid Speech Recognition

261 citations · 682 across the 43 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SD2023★ 5 cited

Audiobox: Unified Audio Generation with Natural Language Prompts

Apoorv Vyas, Bowen Shi, Matthew Le +21

Audio is an essential part of our life, but creating it often requires expertise and is time-consuming. Research communities have made great progress over the past year advancing t…

eess.AS2023

Generative Pre-training for Speech with Flow Matching

Alexander H. Liu, Matt Le, Apoorv Vyas +3

Generative models have gained more and more attention in recent years for their remarkable success in tasks that required estimating and sampling data distribution to generate high…

eess.AS2023

Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model

Jiamin Xie, Ke Li, Jinxi Guo +7

Neural network pruning offers an effective method for compressing a multilingual automatic speech recognition (ASR) model with minimal performance loss. However, it entails several…

cs.CL2023★ 116 cited

Scaling Speech Technology to 1,000+ Languages

Vineel Pratap, Andros Tjandra, Bowen Shi +13

Expanding the language coverage of speech technology has the potential to improve access to information for many more people. However, current speech technology is restricted to ab…

cs.CL2023★ 2 cited

SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain

Heli Qi, Sashi Novitasari, Andros Tjandra +2

This paper introduces SpeeChain, an open-source Pytorch-based toolkit designed to develop the machine speech chain for large-scale use. This first release focuses on the TTS-to-ASR…