6 papers
Cross-Lingual TTS for Indian Languages: A Benchmark and Inference-Time Duration Estimation Strategies
Adarsh Arigala, Arjun Gangwar, Srinivasan Umesh
Recent alignment-free Text-to-Speech (TTS) models achieve high synthesis quality by removing explicit alignment modules and simplifying training. However, they often struggle in cr…
CORD-KWS: Calibrated, Order-Aware Detection for Open-Vocabulary Keyword Spotting
Ramesh Gundluru, Adarsh Arigala, Sri Rama Murty Kodukula
Open-vocabulary keyword spotting (KWS) must detect arbitrary keywords without retraining. Cross-attention-based models achieve state-of-the-art performance but require pairwise int…
Enhancing Audio Captioning with Auxiliary AudioSet Semantics
Shubham Gupta, Adarsh Arigala, Sri Rama Murty Kodukula
Automatic Audio Captioning (AAC) seeks to generate natural language descriptions of complex acoustic scenes, bridging auditory perception and language understanding. However, word-…
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…
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…
Shared Representation Learning for Reference-Guided Targeted Sound Detection
Shubham Gupta, Adarsh Arigala, B. R. Dilleswari +1
Human listeners exhibit the remarkable ability to segregate a desired sound from complex acoustic scenes through selective auditory attention, motivating the study of Targeted Soun…