Telugu

The 'Telugu' dataset/benchmark contains speech data used to evaluate the performance of multilingual automatic speech recognition (ASR) systems, particularly in the context of comparing different projector designs.

Papers using Telugu (8)

Factors affecting ASR performance: A study using state of the art ASR models in Indic Languages2026An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages2026PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech2026Dynamic Multi-Expert Projectors with Stabilized Routing for Multilingual Speech Recognition2026Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages2021 · 5 citesData and knowledge-driven approaches for multilingual training to improve the performance of speech recognition systems of Indian languages2022 · 3 citesVECL-TTS: Voice identity and Emotional style controllable Cross-Lingual Text-to-Speech2024A two-stage transliteration approach to improve performance of a multilingual ASR2024