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20242026
most citedSpark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

1 citations · 2 across the 16 of their papers we have counts for

collaborators

18 papers

eess.AS2026

WenetSpeech-Min: A Large-Scale Minnan Speech Corpus with Dual Transcriptions for Dialectal Speech Processing

Haoyu Zhang, Chunjiang He, Hongtao Li +17

Progress in dialectal speech technology is hindered by the scarcity of large-scale, real-world corpora. For Minnan speech, existing resources remain limited, and few provide paired…

cs.CL2026

Complex-Text Robustness Evaluation and Failure Diagnosis for Low-Resource Multilingual Text-to-Speech

Tianlun Zuo, Ziyu Zhang, Tingzhi Mao +2

Low-resource multilingual text-to-speech (TTS) systems have expanded language coverage, but their robustness under complex text inputs remains insufficiently diagnosed. Existing ev…

eess.AS2026

Preference Optimization with LALM Feedback for Continuous Autoregressive Non-Verbal Vocalization Generation

Jingbin Hu, Qirui Zhan, Yuang Cao +8

We propose a preference optimization framework with Large Audio-Language Model (LALM) feedback for controllable non-verbal vocalization (NVV) generation in continuous autoregressiv…

cs.CL2026

Rubric-Aligned Disentangled Evaluation of Human Simultaneous Interpreting

Ziyu Zhang, Satoshi Nakamura

Human simultaneous interpreting (SI) is commonly assessed with analytic rubrics separating meaning transfer, delivery quality, and temporal synchrony, yet no automatic metric is de…

eess.AS2026

Source-Adaptive Data Curation for Bilingual NVV-Aware ASR

Yuang Cao, Qirui Zhan, Jingbin Hu +8

Nonverbal vocalizations (NVVs), such as laughter, sighs, breaths, and coughs, convey affective and interactional information that conventional automatic speech recognition (ASR) sy…

eess.AS2026

SphereVAE: Hyperspherical Latent Autoencoders for Robust Autoregressive Speech Representation Modeling

Haoyu Zhang, Jingbin Hu, Hanke Xie +8

With the rapid development of speech generation technology, discrete codec representations have been widely used because they provide a stable prediction paradigm. In expressive sp…

cs.SD2026

Towards Unified Song Generation and Singing Voice Conversion with Accompaniment Co-Generation

Ziyu Zhang, Chunyu Qiang, Xiaopeng Wang +10

While song generation and singing voice conversion (SVC) have evolved significantly, they have long been developed isolated: the former lacks zero-shot speaker cloning, while the l…

eess.AS2026

Beyond Semantic Dominance: Cognitive Affective Reasoning and Empathetic Response Alignment in Audio Language Models

Zhixian Zhao, Shuiyuan Wang, Wenjie Tian +3

While Audio Language Models (ALMs) demonstrate strong semantic understanding, they struggle with complex affective interactions. Specifically, textual semantic dominance often over…

eess.AS2026

UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions

Chunyu Qiang, Xiaopeng Wang, Kang Yin +11

Generative audio modeling has largely been fragmented into specialized tasks, text-to-speech (TTS), text-to-music (TTM), and text-to-audio (TTA), each operating under heterogeneous…

cs.SD2026

Seeing the Context: Rich Visual Context-Aware Speech Recognition via Multimodal Reasoning

Wenjie Tian, Mingchen Shao, Bingshen Mu +8

Audio-visual speech recognition (AVSR) is an extension of ASR that incorporates visual signals. Current AVSR approaches primarily focus on lip motion, largely overlooking rich cont…

eess.AS2026

VoiceSculptor: Your Voice, Designed By You

Jingbin Hu, Huakang Chen, Linhan Ma +19

Despite rapid progress in text-to-speech (TTS), open-source systems still lack truly instruction-following, fine-grained control over core speech attributes (e.g., pitch, speaking…

cs.AI2025

HiStyle: Hierarchical Style Embedding Predictor for Text-Prompt-Guided Controllable Speech Synthesis

Ziyu Zhang, Hanzhao Li, Jingbin Hu +2

Controllable speech synthesis refers to the precise control of speaking style by manipulating specific prosodic and paralinguistic attributes, such as gender, volume, speech rate,…

cs.CL2025

WenetSpeech-Chuan: A Large-Scale Sichuanese Corpus with Rich Annotation for Dialectal Speech Processing

Yuhang Dai, Ziyu Zhang, Shuai Wang +13

The scarcity of large-scale, open-source data for dialects severely hinders progress in speech technology, a challenge particularly acute for the widely spoken Sichuanese dialects…

cs.SD2025★ 1 cited

WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation

Longhao Li, Zhao Guo, Hongjie Chen +15

The development of speech understanding and generation has been significantly accelerated by the availability of large-scale, high-quality speech datasets. Among these, ASR and TTS…

cs.SD2025

OSUM-EChat: Enhancing End-to-End Empathetic Spoken Chatbot via Understanding-Driven Spoken Dialogue

Xuelong Geng, Qijie Shao, Hongfei Xue +20

Empathy is crucial in enabling natural interactions within spoken dialogue systems, allowing machines to recognize and respond appropriately to paralinguistic cues such as age, gen…

cs.SD2025

Decoding Speaker-Normalized Pitch from EEG for Mandarin Perception

Jiaxin Chen, Yiming Wang, Ziyu Zhang +6

The same speech content produced by different speakers exhibits significant differences in pitch contour, yet listeners' semantic perception remains unaffected. This phenomenon may…

cs.SD2025★ 1 cited

Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

Xinsheng Wang, Mingqi Jiang, Ziyang Ma +22

Recent advancements in large language models (LLMs) have driven significant progress in zero-shot text-to-speech (TTS) synthesis. However, existing foundation models rely on multi-…

cs.SD2024

The NPU-HWC System for the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge

Dake Guo, Jixun Yao, Xinfa Zhu +6

This paper presents the NPU-HWC system submitted to the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge 2024 (ICAGC). Our system consists of two modules: a spee…