5 papers
Pixel-TTS: Image based Text Rendering for Robust Text-to-Speech
Adarsh Arigala, Arjun Gangwar, S Umesh +1
Recent advances in pixel-based text modeling show that representing text as images enables models to exploit visual cues for language understanding. Grounding text in its visual fo…
HybridCodec: Fast Dual-Stream, Semantically Enhanced Neural Audio Codec
Arjun Gangwar, S Umesh
The popularity of neural audio codecs as speech tokenizers has surged with the advent of Multimodal Large Language Models. New codec architectures with semantic and acoustic disent…
Multilingual Multi-Speaker Unit Vocoders: A Systematic Analysis of Discrete Speech Representations
Naman Kothari, Arjun Gangwar, Adarsh Arigala +1
Discrete speech units obtained via k-means clustering of self supervised embeddings entangle phonetic, speaker, and language information, causing speaker mixing and cross-lingual i…
Building Robust and Scalable Multilingual ASR for Indian Languages
Arjun Gangwar, Kaousheik Jayakumar, S. Umesh
This paper describes the systems developed by SPRING Lab, Indian Institute of Technology Madras, for the ASRU MADASR 2.0 challenge. The systems developed focuses on adapting ASR sy…
Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching
Shoutrik Das, Nishant Singh, Arjun Gangwar +1
Dysarthria is a neurological disorder that significantly impairs speech intelligibility, often rendering affected individuals unable to communicate effectively. This necessitates t…