2 citations · 2 across the 13 of their papers we have counts for
8 papers · 1 filter
Channel-Aware Pretraining of Joint Encoder-Decoder Self-Supervised Model for Telephonic-Speech ASR
Vrunda N. Sukhadia, A. Arunkumar, S. Umesh
This paper proposes a novel technique to obtain better downstream ASR performance from a joint encoder-decoder self-supervised model when trained with speech pooled from two differ…
SLICER: Learning universal audio representations using low-resource self-supervised pre-training
Ashish Seth, Sreyan Ghosh, S. Umesh +1
We present a new Self-Supervised Learning (SSL) approach to pre-train encoders on unlabeled audio data that reduces the need for large amounts of labeled data for audio and speech…
MAST: Multiscale Audio Spectrogram Transformers
Sreyan Ghosh, Ashish Seth, S. Umesh +1
We present Multiscale Audio Spectrogram Transformer (MAST) for audio classification, which brings the concept of multiscale feature hierarchies to the Audio Spectrogram Transformer…
Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages
Anusha Prakash, Arun Kumar, Ashish Seth +24
Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation in…
data2vec-aqc: Search for the right Teaching Assistant in the Teacher-Student training setup
Vasista Sai Lodagala, Sreyan Ghosh, S. Umesh
In this paper, we propose a new Self-Supervised Learning (SSL) algorithm called data2vec-aqc, for speech representation learning from unlabeled speech data. Our goal is to improve…
DuDe: Dual-Decoder Multilingual ASR for Indian Languages using Common Label Set
Arunkumar A, Mudit Batra, Umesh S
In a multilingual country like India, multilingual Automatic Speech Recognition (ASR) systems have much scope. Multilingual ASR systems exhibit many advantages like scalability, ma…
CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representations
Vasista Sai Lodagala, Sreyan Ghosh, S. Umesh
While Self-Supervised Learning has helped reap the benefit of the scale from the available unlabeled data, the learning paradigms are continuously being bettered. We present a new…
Span Classification with Structured Information for Disfluency Detection in Spoken Utterances
Sreyan Ghosh, Sonal Kumar, Yaman Kumar Singla +2
Existing approaches in disfluency detection focus on solving a token-level classification task for identifying and removing disfluencies in text. Moreover, most works focus on leve…