Amrutha Prasad — accepted AI-conference papers

2024

Contextual Biasing Methods for Improving Rare Word Detection in Automatic Speech Recognition

Mrinmoy Bhattacharjee, Iuliia Nigmatulina, Amrutha Prasad, Pradeep Rangappa, Srikanth R. Madikeri, Petr Motlícek +2

ICASSP 2024accepted

In specialized domains like Air Traffic Control (ATC), a notable challenge in porting a deployed Automatic Speech Recognition (ASR) system from one airport to another is the alteration in the set of crucial words that must be accurately detected in the new environment. Typically, such words have lim…

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2024

Fine-Tuning Self-Supervised Models for Language Identification Using Orthonormal Constraint

Amrutha Prasad, Andrés Carofilis, Geoffroy Vanderreydt, Driss Khalil, Srikanth R. Madikeri, Petr Motlícek +1

ICASSP 2024accepted

Self-supervised models trained with high linguistic diversity, such as the XLS-R model, can be effectively fine-tuned for the language recognition task. Typically, a back-end classifier followed by statistics pooling layer are added during training. Commonly used back-end classifiers require a large…

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2022

A Two-Step Approach to Leverage Contextual Data: Speech Recognition in Air-Traffic Communications

Iuliia Nigmatulina, Juan Zuluaga-Gomez, Amrutha Prasad, Seyyed Saeed Sarfjoo, Petr Motlícek

ICASSP 2022accepted

Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and increase the reliability of transmitted information. ASR application can lead to a lower number of incidents caused by mis…

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