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20172026
most citedA Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification

6 citations · 12 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

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…

cs.SD2021

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…

cs.SD2021★ 6 cited

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…

cs.SD2019★ 2 cited

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…

cs.SD2017★ 1 cited

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…