Bhavik Vachhani

According to our database1, Bhavik Vachhani authored at least 11 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2023
Multi-resolution Approach to Identification of Spoken Languages and To Improve Overall Language Diarization System Using Whisper Model.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2020
Robust Phonetic Segmentation Using Spectral Transition measure for Non-Standard Recording Environments.
CoRR, 2020

2018
Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
Phonetic Segmentation Using Knowledge from Visual and Perceptual Domain.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017

Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

MoPAReST - Mobile Phone Assisted Remote Speech Therapy Platform.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Automatic assessment of dysarthria severity level using audio descriptors.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation.
Proceedings of the Speech and Computer - 18th International Conference, 2016

Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-Taper Spectral Estimation.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Robust phonetic segmentation using multi-taper spectral estimation for noisy and clipped speech.
Proceedings of the 24th European Signal Processing Conference, 2016


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