activity
20202026
most citedAn ASR Guided Speech Intelligibility Measure for TTS Model Selection

5 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

FuseAlign: Forced Alignment in the Wild

Mithilesh Vaidya, Stephen Bailey, Sumukh Badam +2

Word-level forced alignment estimates when each transcript word occurs in an audio recording. It underpins text-based media editing, subtitling, speech-data curation, and phonetic…

cs.CV2026

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation

Matthew Bendel, Stephen W. Bailey, Mithilesh Vaidya +2

Long-horizon video generation suffers from two intertwined issues. First, there is drift, where video quality degrades over time. Second, there are continuity issues which manifest…

eess.AS2026

PoDAR: Power-Decoupled Audio Representation for Generative Modeling

Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar +5

The performance of audio latent diffusion models is primarily governed by generator expressivity and the modelability of the underlying latent space. While recent research has focu…

eess.AS2021

Non-native English lexicon creation for bilingual speech synthesis

Arun Baby, Pranav Jawale, Saranya Vinnaitherthan +3

Bilingual English speakers speak English as one of their languages. Their English is of a non-native kind, and their conversations are of a code-mixed fashion. The intelligibility…

cs.SD2020★ 5 cited

An ASR Guided Speech Intelligibility Measure for TTS Model Selection

Arun Baby, Saranya Vinnaitherthan, Nagaraj Adiga +4

The perceptual quality of neural text-to-speech (TTS) is highly dependent on the choice of the model during training. Selecting the model using a training-objective metric such as…