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arxiv 2401.14321 v5 pith:Z3BRWJYS submitted 2024-01-25 eess.AS cs.SD

VALL-T: Decoder-Only Generative Transducer for Robust and Decoding-Controllable Text-to-Speech

Chenpeng Du , Yiwei Guo , Hankun Wang , Yifan Yang , Zhikang Niu , Shuai Wang , Hui Zhang , Xie Chen
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Kai Yu
This is my paper
classification eess.AS cs.SD
keywords decoder-onlyvall-tadaptationarchitecturegenerativemodelsmonotonicrelative
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Recent TTS models with decoder-only Transformer architecture, such as SPEAR-TTS and VALL-E, achieve impressive naturalness and demonstrate the ability for zero-shot adaptation given a speech prompt. However, such decoder-only TTS models lack monotonic alignment constraints, sometimes leading to hallucination issues such as mispronunciation, word skipping and repeating. To address this limitation, we propose VALL-T, a generative Transducer model that introduces shifting relative position embeddings for input phoneme sequence, explicitly indicating the monotonic generation process while maintaining the architecture of decoder-only Transformer. Consequently, VALL-T retains the capability of prompt-based zero-shot adaptation and demonstrates better robustness against hallucinations with a relative reduction of 28.3% in the word error rate.

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Cited by 3 Pith papers

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    CosyVoice 3 achieves better content consistency, speaker similarity, and prosody naturalness in zero-shot multilingual speech synthesis by scaling data to one million hours, model size to 1.5 billion parameters, and i...

  2. CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

    cs.SD 2024-12 unverdicted novelty 5.0

    CosyVoice 2 delivers human-parity naturalness and near-lossless streaming speech synthesis by combining finite-scalar quantization, a streamlined pre-trained LLM, and chunk-aware causal flow matching on large multilin...

  3. F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

    eess.AS 2024-10 unverdicted novelty 5.0

    F5-TTS generates natural speech from text via flow matching on DiT with simple text padding, ConvNeXt refinement, and sway sampling, trained on 100K hours multilingual data.