8 citations · 25 across the 8 of their papers we have counts for
8 papers
Enhancing Automatic Chord Recognition via Pseudo-Labeling and Knowledge Distillation
Nghia Phan, Rong Jin, Gang Liu +1
Automatic Chord Recognition (ACR) is constrained by the scarcity of aligned chord annotations, which are costly to acquire. At the same time, open-weight pre-trained models are mor…
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
Mufan Sang, Yong Zhao, Gang Liu +2
Recently, Transformer-based architectures have been explored for speaker embedding extraction. Although the Transformer employs the self-attention mechanism to efficiently model th…
The Microsoft System for VoxCeleb Speaker Recognition Challenge 2022
Gang Liu, Tianyan Zhou, Yong Zhao +4
In this report, we describe our submitted system for track 2 of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22). We fuse a variety of good-performing models ranging fro…
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?
Sanyuan Chen, Yu Wu, Chengyi Wang +8
Recently, self-supervised learning (SSL) has demonstrated strong performance in speaker recognition, even if the pre-training objective is designed for speech recognition. In this…
Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020
Xiong Xiao, Naoyuki Kanda, Zhuo Chen +10
This paper describes the Microsoft speaker diarization system for monaural multi-talker recordings in the wild, evaluated at the diarization track of the VoxCeleb Speaker Recogniti…
An Online Attention-based Model for Speech Recognition
Ruchao Fan, Pan Zhou, Wei Chen +2
Attention-based end-to-end models such as Listen, Attend and Spell (LAS), simplify the whole pipeline of traditional automatic speech recognition (ASR) systems and become popular i…
An Ensemble Framework of Voice-Based Emotion Recognition System for Films and TV Programs
Fei Tao, Gang Liu, Qingen Zhao
Employing voice-based emotion recognition function in artificial intelligence (AI) product will improve the user experience. Most of researches that have been done only focus on th…
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition
Fei Tao, Gang Liu
Long short-term memory (LSTM) is normally used in recurrent neural network (RNN) as basic recurrent unit. However,conventional LSTM assumes that the state at current time step depe…