Brij Mohan Lal Srivastava | DeepAI

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∙ 11/29/2022

Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi

The primary obstacle to developing technologies for low-resource languag...

0 Devansh Mehta, et al. ∙

∙ 05/14/2022

The VoicePrivacy 2020 Challenge Evaluation Plan

The VoicePrivacy Challenge aims to promote the development of privacy pr...

0 Natalia Tomashenko, et al. ∙

∙ 02/23/2022

Differentially Private Speaker Anonymization

Sharing real-world speech utterances is key to the training and deployme...

2 Ali Shahin Shamsabadi, et al. ∙

∙ 09/01/2021

The VoicePrivacy 2020 Challenge: Results and findings

This paper presents the results and analyses stemming from the first Voi...

2 Natalia Tomashenko, et al. ∙

∙ 09/01/2021

Benchmarking and challenges in security and privacy for voice biometrics

For many decades, research in speech technologies has focused upon impro...

0 Jean-Francois Bonastre, et al. ∙

∙ 05/18/2020

Design Choices for X-vector Based Speaker Anonymization

The recently proposed x-vector based anonymization scheme converts any i...

0 Brij Mohan Lal Srivastava, et al. ∙

∙ 05/04/2020

Introducing the VoicePrivacy Initiative

The VoicePrivacy initiative aims to promote the development of privacy p...

0 Natalia Tomashenko, et al. ∙

∙ 04/21/2020

Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi

The primary obstacle to developing technologies for low-resource languag...

0 Devansh Mehta, et al. ∙

∙ 11/12/2019

Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?

Automatic speech recognition (ASR) is a key technology in many services ...

0 Brij Mohan Lal Srivastava, et al. ∙

∙ 11/10/2019

Evaluating Voice Conversion-based Privacy Protection against Informed Attackers

Speech signals are a rich source of speaker-related information includin...

0 Brij Mohan Lal Srivastava, et al. ∙

∙ 06/22/2019

End-to-End ASR for Code-switched Hindi-English Speech

End-to-end (E2E) models have been explored for large speech corpora and ...

0 Brij Mohan Lal Srivastava, et al. ∙

∙ 09/06/2017

Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the Art

Automatic speech recognition is used to assess spoken English learner pr...

0 Yuan Gao, et al. ∙

∙ 10/13/2015

A language model based approach towards large scale and lightweight language identification systems

Multilingual spoken dialogue systems have gained prominence in the recen...

0 Brij Mohan Lal Srivastava, et al. ∙

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