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20232026
most citedCodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification

4 citations · 11 across the 30 of their papers we have counts for

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11 papers · 1 filter

eess.AS2026

AudioCALM: Continuous Autoregressive Language Modeling for Universal Audio Generation

Huadai Liu, Kaicheng Luo, Wen Wang +4

Unifying speech, sound, and music generation in one model is hindered by tradeoffs between fidelity, end-to-end training, in-context conditioning, and variable-length synthesis tha…

eess.AS2026

STAR-VAE: Structured Topology-Aware Regularization for Audio Reconstruction and Generation

Huadai Liu, Wen Wang, Kaicheng Luo +3

Continuous Variational Autoencoders (VAEs) serve as the fundamental continuous tokenizer for modern neural audio generation systems, enabling high-fidelity reconstruction while pro…

eess.AS2026

BareWave: Waveform-Native Flow-Matching Text-to-Speech

Wei Fan, Chao-Hong Tan, Qian Chen +5

Removing intermediate representations and separately trained decoding stages has become an important direction in generative modeling. In text-to-speech, however, high-quality syst…

eess.AS2025

Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding

Rui-Chen Zheng, Wenrui Liu, Hui-Peng Du +6

Existing speech tokenizers typically assign a fixed number of tokens per second, regardless of the varying information density or temporal fluctuations in the speech signal. This u…

eess.AS2025

ThinkSound: Chain-of-Thought Reasoning in Multimodal Large Language Models for Audio Generation and Editing

Huadai Liu, Kaicheng Luo, Jialei Wang +4

While end-to-end video-to-audio generation has greatly improved, producing high-fidelity audio that authentically captures the nuances of visual content remains challenging. Like p…

eess.AS2025

Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation

Wenrui Liu, Qian Chen, Wen Wang +11

Neural audio codecs, used as speech tokenizers, have demonstrated remarkable potential in the field of speech generation. However, to ensure high-fidelity audio reconstruction, neu…

eess.AS2025

OmniAudio: Generating Spatial Audio from 360-Degree Video

Huadai Liu, Tianyi Luo, Kaicheng Luo +11

Traditional video-to-audio generation techniques primarily focus on perspective video and non-spatial audio, often missing the spatial cues necessary for accurately representing so…

eess.AS2025

UniCodec: Unified Audio Codec with Single Domain-Adaptive Codebook

Yidi Jiang, Qian Chen, Shengpeng Ji +6

The emergence of audio language models is empowered by neural audio codecs, which establish critical mappings between continuous waveforms and discrete tokens compatible with langu…

eess.AS2024

Unified Audio Event Detection

Yidi Jiang, Ruijie Tao, Wen Huang +2

Sound Event Detection (SED) detects regions of sound events, while Speaker Diarization (SD) segments speech conversations attributed to individual speakers. In SED, all speaker seg…

eess.AS2024

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Shengpeng Ji, Ziyue Jiang, Wen Wang +14

Language models have been effectively applied to modeling natural signals, such as images, video, speech, and audio. A crucial component of these models is the codec tokenizer, whi…

eess.AS2024

ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control

Shengpeng Ji, Qian Chen, Wen Wang +8

In this paper, we present ControlSpeech, a text-to-speech (TTS) system capable of fully cloning the speaker's voice and enabling arbitrary control and adjustment of speaking style.…