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Anand Mohan

4 accepted papers

2025

AMuSE: Attentive Multilingual Speech Encoding for Zero-Prior ASR

Ashutosh Varshney, Debmalya Chakrabarty, Akshat Jaiswal, Harish Arsikere, Abhinav Jain, Swayambhu Nath Ray +6
ICASSP 2025accepted

Multilingual ASR offers training, deployment and overall performance benefits, but models trained via simple data pooling are known to suffer from cross-lingual interference. Oracle language information (exact-prior) and language-specific parameters are usually leveraged to overcome this, but such a…

Cited by 0Source ↗Scholar ↗
2021

Cross-Silo Federated Training in the Cloud with Diversity Scaling and Semi-Supervised Learning

Kishore Nandury, Anand Mohan, Frederick Weber
ICASSP 2021accepted

Federated learning is a machine learning approach that allows a loose federation of trainers to collaboratively improve a shared model, while making minimum assumptions on central availability of data. In cross-siloed federated learning, data is partitioned into silos, each with an associated traine…

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2019

End-to-end Language Recognition Using Attention Based Hierarchical Gated Recurrent Unit Models

Bharat Padi, Anand Mohan, Sriram Ganapathy
ICASSP 2019accepted

The task of automatic language identification (LID) involving multiple dialects of the same language family on short speech recordings is a challenging problem. This can be further complicated for short-duration audio snippets in the presence of noise sources. In these scenarios, the identity of the…

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2019

The Leap Speaker Recognition System for NIST SRE 2018 Challenge

Shreyas Ramoji, Anand Mohan, Bhargavram Mysore, Anmol Bhatia, Prachi Singh, Harsha Vardhan +1
ICASSP 2019accepted

The NIST Speaker Recognition Evaluation (SRE) 2018 challenge comprises an open evaluation of the text independent speaker verification task. This paper summarizes the LEAP speaker verification systems submitted to the NIST SRE 2018. For all the speaker verification approaches, the front-end feature…

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