arXiv AI
Cross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies
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Adaptive Duration Model for Text Speech Alignment
The paper introduces an Adaptive Duration Model designed to predict phoneme-level duration distributions directly from text, improving alignment in text-to-speech systems. It outperforms existing baseline models in precision and adaptability to varying conditions, enhancing phoneme-level alignment accuracy. The model also strengthens zero‑shot TTS performance by reducing sensitivity to mismatches between prompt and input audio.
arXiv AI
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Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages
arXiv:2607. 23808v1 Announce Type: cross Abstract: In this work, we introduce Indic DiarBench, a speaker diarization and ASR benchmark dataset spanning all 22 scheduled languages of India.
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ELARSpeech: A 30K-Hour Dataset Across 675 Underrepresented Languages for Long-Tail Multilingual Speech Technologies
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ShlokaDhara: A Multi-Speaker Sanskrit Speech Corpus for Learning Meter-Aware Prosody in Text-to-Recitation
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arXiv AI
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Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition
arXiv:2605. 13087v2 Announce Type: replace-cross Abstract: Fine-tuning multilingual ASR models like Whisper for low-resource languages often improves read speech but degrades spontaneous audio performance.
arXiv Computation and Language
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Index-Translate: A Multilingual Translation Model Family -- Text, Speech, Controlled Dubbing, and Long-Document Translation
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