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20232026
most citedCross-Speaker Encoding Network for Multi-Talker Speech Recognition

4 citations · 9 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.SD2026

Imitation Learning for Elder-Facing Speech Synthesis

Dongrui Han, Weidong Chen, Jiawen Kang +3

Recent advances in text-to-speech (TTS) synthesis have achieved highly natural and expressive speech generation. However, these systems are designed for general adults and overlook…

cs.SD2026★ 1 cited

Covo-Audio Technical Report

Wenfu Wang, Chenxing Li, Liqiang Zhang +23

In this work, we present Covo-Audio, a 7B-parameter end-to-end LALM that directly processes continuous audio inputs and generates audio outputs within a single unified architecture…

cs.SD2024

Empowering Whisper as a Joint Multi-Talker and Target-Talker Speech Recognition System

Lingwei Meng, Jiawen Kang, Yuejiao Wang +4

Multi-talker speech recognition and target-talker speech recognition, both involve transcription in multi-talker contexts, remain significant challenges. However, existing methods…

cs.SD2024★ 4 cited

Cross-Speaker Encoding Network for Multi-Talker Speech Recognition

Jiawen Kang, Lingwei Meng, Mingyu Cui +4

End-to-end multi-talker speech recognition has garnered great interest as an effective approach to directly transcribe overlapped speech from multiple speakers. Current methods typ…

cs.SD2023

QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning

Haohan Guo, Fenglong Xie, Jiawen Kang +3

This paper proposes a novel semi-supervised TTS framework, QS-TTS, to improve TTS quality with lower supervised data requirements via Vector-Quantized Self-Supervised Speech Repres…