4 papers
Jointly Improving Dialect Identification and ASR in Indian Languages using Multimodal Feature Fusion
Saurabh Kumar, Amartyaveer, Prasanta Kumar Ghosh
Automatic Speech Recognition (ASR) and Dialect Identification (DID) are crucial for Indian languages, many of which are low-resource and exhibit significant dialectal differences.…
Vaani Benchmark V1.0: An Inclusive Multimodal Benchmark Dataset for Hindi
Sujith Pulikodan, Agneedh Basu, Saurabh Kumar +5
Benchmarking is critical for the systematic evaluation of machine learning systems. While several open-source datasets are available for Hindi, existing benchmarks remain limited i…
VAANI: Capturing the language landscape for an inclusive digital India
Sujith Pulikodan, Abhayjeet Singh, Agneedh Basu +17
Voice based technologies have the potential to bridge digital accessibility gaps; however, existing datasets fail to capture the linguistic and regional diversity of Indic language…
Speaking rate attention-based duration prediction for speed control TTS
Jesuraj Bandekar, Sathvik Udupa, Abhayjeet Singh +6
With the advent of high-quality speech synthesis, there is a lot of interest in controlling various prosodic attributes of speech. Speaking rate is an essential attribute towards m…