mlsanityData to 14 Oct 2026

RWKVTTS: Yet another TTS based on RWKV-7

arXiv 2504.03289 ↗First posted 4 Apr 2025cs.SD cs.CL eess.AScited by 0

Not on the map. Why?

Abstract (arXiv)

Human-AI interaction thrives on intuitive and efficient interfaces, among which voice stands out as a particularly natural and accessible modality. Recent advancements in transformer-based text-to-speech (TTS) systems, such as Fish-Speech, CosyVoice, and MegaTTS 3, have delivered remarkable improvements in quality and realism, driving a significant evolution in the TTS domain. In this paper, we introduce RWKV-7 citepeng2025rwkv, a cutting-edge RNN-based architecture tailored for TTS applications. Unlike traditional transformer models, RWKV-7 leverages the strengths of recurrent neural networks to achieve greater computational efficiency and scalability, while maintaining high-quality output. Our comprehensive benchmarks demonstrate that RWKV-7 outperforms transformer-based models across multiple key metrics, including synthesis speed, naturalness of speech, and resource efficiency. Furthermore, we explore its adaptability to diverse linguistic contexts and low-resource environments, showcasing its potential to democratize TTS technology. These findings position RWKV-7 as a powerful and innovative alternative, paving the way for more accessible and versatile voice synthesis solutions in real-world applications.Our code and weights are https://github.com/yynil/RWKVTTS, https://huggingface.co/spaces/RWKV-Red-Team

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 20 references that are in the map. First posted on arXiv 4 Apr 2025.

Builds on

10 of 20 references.

References · 10

  1. 2017Tacotron: Towards End-to-End Speech Synthesiscited by 490
  2. 2024CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Modelscited by 288
  3. 2024PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Modelscited by 269
  4. 2025RWKV-7 "Goose" with Expressive Dynamic State Evolutioncited by 141
  5. 2024WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modelingcited by 129
  6. 2024Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesiscited by 48
  7. 2025ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformercited by 9
  8. 2025FireRedTTS-1S: An Upgraded Streamable Foundation Text-to-Speech Systemcited by 6
  9. 2023Exploring RWKV for Memory Efficient and Low Latency Streaming ASRcited by 5
  10. 2025BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modelingcited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2023A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
  2. 2026Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech ↗
  3. 2025ModRWKV: Transformer Multimodality in Linear Time
  4. 2026CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents
  5. 2022Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise Distillation
  6. 2025VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents
  7. 2026Training a Compact, Strong, and Realistic Text-to-Speech Model
  8. 2026Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical Assessment