activity
20192026
most citedModel Adaptation for ASR in low-resource Indian Languages

5 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

eess.AS2026

VAANI: Capturing the language landscape for an inclusive digital India

Sujith Pulikodan, Abhayjeet Singh, Agneedh Basu +17

Voice based technologies have the potential to bridge digital accessibility gaps; however, existing datasets fail to capture the linguistic and regional diversity of Indic language…

eess.AS2023

SPIRE-SIES: A Spontaneous Indian English Speech Corpus

Abhayjeet Singh, Charu Shah, Rajashri Varadaraj +2

In this paper, we present a 170.83 hour Indian English spontaneous speech dataset. Lack of Indian English speech data is one of the major hindrances in developing robust speech sys…

eess.AS2023

Speaking rate attention-based duration prediction for speed control TTS

Jesuraj Bandekar, Sathvik Udupa, Abhayjeet Singh +6

With the advent of high-quality speech synthesis, there is a lot of interest in controlling various prosodic attributes of speech. Speaking rate is an essential attribute towards m…

eess.AS2023★ 5 cited

Model Adaptation for ASR in low-resource Indian Languages

Abhayjeet Singh, Arjun Singh Mehta, Ashish Khuraishi K S +17

Automatic speech recognition (ASR) performance has improved drastically in recent years, mainly enabled by self-supervised learning (SSL) based acoustic models such as wav2vec2 and…

eess.AS2021

A study on native American English speech recognition by Indian listeners with varying word familiarity level

Abhayjeet Singh, Achuth Rao MV, Rakesh Vaideeswaran +2

In this study, listeners of varied Indian nativities are asked to listen and recognize TIMIT utterances spoken by American speakers. We have three kinds of responses from each list…

eess.AS2021

Estimating articulatory movements in speech production with transformer networks

Sathvik Udupa, Anwesha Roy, Abhayjeet Singh +2

We estimate articulatory movements in speech production from different modalities - acoustics and phonemes. Acoustic-to articulatory inversion (AAI) is a sequence-to-sequence task.…

eess.AS2020

Attention and Encoder-Decoder based models for transforming articulatory movements at different speaking rates

Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh

While speaking at different rates, articulators (like tongue, lips) tend to move differently and the enunciations are also of different durations. In the past, affine transformatio…

eess.AS2019

A comparative study of estimating articulatory movements from phoneme sequences and acoustic features

Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh

Unlike phoneme sequences, movements of speech articulators (lips, tongue, jaw, velum) and the resultant acoustic signal are known to encode not only the linguistic message but also…