activity
20182026
most citedWavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

1.9k citations · 2.2k across the 59 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

eess.AS2023★ 3 cited

SpeechX: Neural Codec Language Model as a Versatile Speech Transformer

Xiaofei Wang, Manthan Thakker, Zhuo Chen +7

Recent advancements in generative speech models based on audio-text prompts have enabled remarkable innovations like high-quality zero-shot text-to-speech. However, existing models…

eess.AS2023★ 1 cited

Adapting Multi-Lingual ASR Models for Handling Multiple Talkers

Chenda Li, Yao Qian, Zhuo Chen +5

State-of-the-art large-scale universal speech models (USMs) show a decent automatic speech recognition (ASR) performance across multiple domains and languages. However, it remains…

cs.CL2023★ 2 cited

i-Code Studio: A Configurable and Composable Framework for Integrative AI

Yuwei Fang, Mahmoud Khademi, Chenguang Zhu +8

Artificial General Intelligence (AGI) requires comprehensive understanding and generation capabilities for a variety of tasks spanning different modalities and functionalities. Int…

cs.CL2023★ 1 cited

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

Ziyi Yang, Mahmoud Khademi, Yichong Xu +16

The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encod…

eess.AS2023

Target Sound Extraction with Variable Cross-modality Clues

Chenda Li, Yao Qian, Zhuo Chen +5

Automatic target sound extraction (TSE) is a machine learning approach to mimic the human auditory perception capability of attending to a sound source of interest from a mixture o…

cs.SD2023

ICASSP 2023 Deep Noise Suppression Challenge

Harishchandra Dubey, Ashkan Aazami, Vishak Gopal +9

Deep Speech Enhancement Challenge is the 5th edition of deep noise suppression (DNS) challenges organized at ICASSP 2023 Signal Processing Grand Challenges. DNS challenges were org…

eess.AS2023

Factual Consistency Oriented Speech Recognition

Naoyuki Kanda, Takuya Yoshioka, Yang Liu

This paper presents a novel optimization framework for automatic speech recognition (ASR) with the aim of reducing hallucinations produced by an ASR model. The proposed framework o…