mlsanityData to 14 Oct 2026

TMD-TTS: A Unified Tibetan Multi-Dialect Text-to-Speech Framework for "U-Tsang, Amdo and Kham Speech Dataset Generation

arXiv 2509.18060 ↗First posted 22 Sep 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

Tibetan is a low-resource language with limited parallel speech corpora spanning its three major dialects ("U-Tsang, Amdo, and Kham), limiting progress in speech modeling. To address this issue, we propose TMD-TTS, a unified Tibetan multi-dialect text-to-speech (TTS) framework that synthesizes parallel dialectal speech from explicit dialect labels. Our method features a dialect fusion module and a Dialect-Specialized Dynamic Routing Network (DSDR-Net) to capture fine-grained acoustic and linguistic variations across dialects. Extensive objective and subjective evaluations demonstrate that TMD-TTS significantly outperforms baselines in dialectal expressiveness. We further validate the quality and utility of the synthesized speech through a challenging Speech-to-Speech Dialect Conversion (S2SDC) task.

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References · 19

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2022Scalable Diffusion Models with Transformerscited by 6,054
  3. 2019Normalizing Flows for Probabilistic Modeling and Inferencecited by 1,323
  4. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
  5. 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
  6. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 717
  7. 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 561
  8. 2018SDR - half-baked or well done?cited by 423
  9. 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matchingcited by 361
  10. 2022BigVGAN: A Universal Neural Vocoder with Large-Scale Trainingcited by 251
  11. 2023NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizerscited by 235
  12. 2023Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesiscited by 153
7 more
  1. 2022NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Qualitycited by 152
  2. 2023Matcha-TTS: A fast TTS architecture with conditional flow matchingcited by 145
  3. 2021MetricGAN+: An Improved Version of MetricGAN for Speech Enhancementcited by 114
  4. 2023VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Designcited by 25
  5. 2023CLAP: Isolating Content from Style through Contrastive Learning with Augmented Promptscited by 10
  6. 2024DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text Alignmentcited by 8
  7. 2023BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Networkcited by 6

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