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Kinship in Speech: Leveraging Linguistic Relatedness for Zero-Shot TTS in Indian Languages

arXiv 2506.03884 ↗First posted 4 Jun 2025cs.CL cs.CVcited by 0

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Abstract (arXiv)

Text-to-speech (TTS) systems typically require high-quality studio data and accurate transcriptions for training. India has 1369 languages, with 22 official using 13 scripts. Training a TTS system for all these languages, most of which have no digital resources, seems a Herculean task. Our work focuses on zero-shot synthesis, particularly for languages whose scripts and phonotactics come from different families. The novelty of our work is in the augmentation of a shared phone representation and modifying the text parsing rules to match the phonotactics of the target language, thus reducing the synthesiser overhead and enabling rapid adaptation. Intelligible and natural speech was generated for Sanskrit, Maharashtrian and Canara Konkani, Maithili and Kurukh by leveraging linguistic connections across languages with suitable synthesisers. Evaluations confirm the effectiveness of this approach, highlighting its potential to expand speech technology access for under-represented languages.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 40 references that are in the map. First posted on arXiv 4 Jun 2025.

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21 of 40 references.

References · 21

  1. 2016WaveNet: A Generative Model for Raw Audiocited by 1,722
  2. 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
  3. 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 717
  4. 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 561
  5. 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 447
  6. 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matchingcited by 361
  7. 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 278
  8. 2020Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Searchcited by 273
  9. 2023Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modelingcited by 167
  10. 2023StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Modelscited by 152
  11. 2022VoiceFixer: A Unified Framework for High-Fidelity Speech Restorationcited by 37
  12. 2022Building African Voicescited by 14
9 more
  1. 2020Generic Indic Text-to-speech Synthesisers with Rapid Adaptation in an End-to-end Frameworkcited by 9
  2. 2024Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Datacited by 9
  3. 2024Meta Learning Text-to-Speech Synthesis in over 7000 Languagescited by 9
  4. 2016Survey on the Use of Typological Information in Natural Language Processingcited by 6
  5. 2024BhashaVerse : Translation Ecosystem for Indian Subcontinent Languagescited by 6
  6. 2022Towards Developing State-of-the-Art TTS Synthesisers for 13 Indian Languages with Signal Processing aided Alignmentscited by 4
  7. 2022Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languagescited by 2
  8. 2023Empirical Analysis of Oral and Nasal Vowels of Konkanicited by 2
  9. 2023Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learningcited by 2

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