337 citations · 470 across the 50 of their papers we have counts for
6 papers · 1 filter
Accented Speech Recognition With Accent-specific Codebooks
Darshan Prabhu, Preethi Jyothi, Sriram Ganapathy +1
Speech accents pose a significant challenge to state-of-the-art automatic speech recognition (ASR) systems. Degradation in performance across underrepresented accents is a severe d…
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages
Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya
Disfluency correction (DC) is the process of removing disfluent elements like fillers, repetitions and corrections from spoken utterances to create readable and interpretable text.…
Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration
Piyush Singh Pasi, Karthikeya Battepati, Preethi Jyothi +3
The problem of audio-to-text alignment has seen significant amount of research using complete supervision during training. However, this is typically not in the context of long aud…
Improving RNN-Transducers with Acoustic LookAhead
Vinit S. Unni, Ashish Mittal, Preethi Jyothi +1
RNN-Transducers (RNN-Ts) have gained widespread acceptance as an end-to-end model for speech to text conversion because of their high accuracy and streaming capabilities. A typical…
Adversarial Training For Low-Resource Disfluency Correction
Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya
Disfluencies commonly occur in conversational speech. Speech with disfluencies can result in noisy Automatic Speech Recognition (ASR) transcripts, which affects downstream tasks li…
DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction
Vineet Bhat, Preethi Jyothi, Pushpak Bhattacharyya
Conversational speech often consists of deviations from the speech plan, producing disfluent utterances that affect downstream NLP tasks. Removing these disfluencies is necessary t…