1 citations · 1 across the 8 of their papers we have counts for
8 papers
Reducing the Gap Between Pretrained Speech Enhancement and Recognition Models Using a Real Speech-Trained Bridging Module
Zhongjian Cui, Chenrui Cui, Tianrui Wang +6
The information loss or distortion caused by single-channel speech enhancement (SE) harms the performance of automatic speech recognition (ASR). Observation addition (OA) is an eff…
Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding
Jiahui Zhao, Hao Shi, Chenrui Cui +5
Code-switching (CS) automatic speech recognition (ASR) faces challenges due to the language confusion resulting from accents, auditory similarity, and seamless language switches. A…
Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition
Yuchun Shu, Bo Hu, Yifeng He +3
Accurately finding the wrong words in the automatic speech recognition (ASR) hypothesis and recovering them well-founded is the goal of speech error correction. In this paper, we p…
Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
Hao Shi, Kazuki Shimada, Masato Hirano +6
Diffusion-based generative speech enhancement (SE) has recently received attention, but reverse diffusion remains time-consuming. One solution is to initialize the reverse diffusio…
Extending Audio Masked Autoencoders Toward Audio Restoration
Zhi Zhong, Hao Shi, Masato Hirano +5
Audio classification and restoration are among major downstream tasks in audio signal processing. However, restoration derives less of a benefit from pretrained models compared to…
Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder
Hao Shi, Masato Mimura, Longbiao Wang +2
Time-domain speech enhancement (SE) has recently been intensively investigated. Among recent works, DEMUCS introduces multi-resolution STFT loss to enhance performance. However, so…
Monolingual Recognizers Fusion for Code-switching Speech Recognition
Tongtong Song, Qiang Xu, Haoyu Lu +5
The bi-encoder structure has been intensively investigated in code-switching (CS) automatic speech recognition (ASR). However, most existing methods require the structures of two m…
Language-specific Characteristic Assistance for Code-switching Speech Recognition
Tongtong Song, Qiang Xu, Meng Ge +5
Dual-encoder structure successfully utilizes two language-specific encoders (LSEs) for code-switching speech recognition. Because LSEs are initialized by two pre-trained language-s…