6 citations · 12 across the 8 of their papers we have counts for
9 papers
Qwen-Audio-3.1-ASR Technical Report
Chuanmeng Bian, Daren Chen, Peixin Chen +45
We present Qwen-Audio-3.1-ASR, a family of audio-language models that builds upon its predecesor Qwen-Audio-3.0-ASR with improved speech recognition and expanded capabilities in sp…
Qwen-Audio-3.0-ASR Technical Report
Chuanmeng Bian, Daren Chen, Peixin Chen +42
In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integra…
Hybrid AHS: A Hybrid of Kalman Filter and Deep Learning for Acoustic Howling Suppression
Hao Zhang, Meng Yu, Yuzhong Wu +2
Deep learning has been recently introduced for efficient acoustic howling suppression (AHS). However, the recurrent nature of howling creates a mismatch between offline training an…
A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification
Qing Wang, Jun Du, Siyuan Zheng +8
In this paper, we propose two techniques, namely joint modeling and data augmentation, to improve system performances for audio-visual scene classification (AVSC). We employ pre-tr…
Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
Yuzhong Wu, Tan Lee
Acoustic scene classification (ASC) aims to identify the type of scene (environment) in which a given audio signal is recorded. The log-mel feature and convolutional neural network…
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification
Hao Yen, Chao-Han Huck Yang, Hu Hu +9
We propose a novel neural model compression strategy combining data augmentation, knowledge transfer, pruning, and quantization for device-robust acoustic scene classification (ASC…
An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia
Ying Qin, Yuzhong Wu, Tan Lee +1
Conventional automatic assessment of pathological speech usually follows two main steps: (1) extraction of pathology-specific features; (2) classification or regression on extracte…
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification
Yuzhong Wu, Tan Lee
Acoustic scene classification is the task of identifying the scene from which the audio signal is recorded. Convolutional neural network (CNN) models are widely adopted with proven…
Reducing Model Complexity for DNN Based Large-Scale Audio Classification
Yuzhong Wu, Tan Lee
Audio classification is the task of identifying the sound categories that are associated with a given audio signal. This paper presents an investigation on large-scale audio classi…