341 citations · 501 across the 66 of their papers we have counts for
16 papers · 1 filter
The Third DIHARD Diarization Challenge
Neville Ryant, Prachi Singh, Venkat Krishnamohan +6
DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise condit…
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting
Purvi Agrawal, Sriram Ganapathy
The learning of interpretable representations from raw data presents significant challenges for time series data like speech. In this work, we propose a relevance weighting scheme…
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations
Purvi Agrawal, Sriram Ganapathy
Speech recognition in noisy and channel distorted scenarios is often challenging as the current acoustic modeling schemes are not adaptive to the changes in the signal distribution…
Neural PLDA Modeling for End-to-End Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Sriram Ganapathy
While deep learning models have made significant advances in supervised classification problems, the application of these models for out-of-set verification tasks like speaker reco…
Deep Self-Supervised Hierarchical Clustering for Speaker Diarization
Prachi Singh, Sriram Ganapathy
The state-of-the-art speaker diarization systems use agglomerative hierarchical clustering (AHC) which performs the clustering of previously learned neural embeddings. While the cl…
Context Dependent RNNLM for Automatic Transcription of Conversations
Srikanth Raj Chetupalli, Sriram Ganapathy
Conversational speech, while being unstructured at an utterance level, typically has a macro topic which provides larger context spanning multiple utterances. The current language…
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition
Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar +1
Automatic speech recognition in reverberant conditions is a challenging task as the long-term envelopes of the reverberant speech are temporally smeared. In this paper, we propose…
NISP: A Multi-lingual Multi-accent Dataset for Speaker Profiling
Shareef Babu Kalluri, Deepu Vijayasenan, Sriram Ganapathy +2
Many commercial and forensic applications of speech demand the extraction of information about the speaker characteristics, which falls into the broad category of speaker profiling…
Third DIHARD Challenge Evaluation Plan
Neville Ryant, Kenneth Church, Christopher Cieri +3
This paper introduces the third DIHARD challenge, the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in…
LEAP Submission to CHiME-6 ASR Challenge}
Anirudh Sreeram, Anurenjan Purushothaman, Rohit Kumar +1
This paper reports the LEAP submission to the CHiME-6 challenge. The CHiME-6 Automatic Speech Recognition (ASR) challenge Track 1 involved the recognition of speech in noisy and re…
Coswara -- A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Neeraj Sharma, Prashant Krishnan, Rohit Kumar +5
The COVID-19 pandemic presents global challenges transcending boundaries of country, race, religion, and economy. The current gold standard method for COVID-19 detection is the rev…
Towards Relevance and Sequence Modeling in Language Recognition
Bharat Padi, Anand Mohan, Sriram Ganapathy
The task of automatic language identification (LID) involving multiple dialects of the same language family in the presence of noise is a challenging problem. In these scenarios, t…
Pairwise Discriminative Neural PLDA for Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Prachi Singh +1
The state-of-art approach to speaker verification involves the extraction of discriminative embeddings like x-vectors followed by a generative model back-end using a probabilistic…
NPLDA: A Deep Neural PLDA Model for Speaker Verification
Shreyas Ramoji, Prashant Krishnan, Sriram Ganapathy
The state-of-art approach for speaker verification consists of a neural network based embedding extractor along with a backend generative model such as the Probabilistic Linear Dis…
LEAP System for SRE19 CTS Challenge -- Improvements and Error Analysis
Shreyas Ramoji, Prashant Krishnan, Bhargavram Mysore +2
The NIST Speaker Recognition Evaluation - Conversational Telephone Speech (CTS) challenge 2019 was an open evaluation for the task of speaker verification in challenging conditions…
Interpretable Filter Learning Using Soft Self-attention For Raw Waveform Speech Recognition
Purvi Agrawal, Sriram Ganapathy
Speech recognition from raw waveform involves learning the spectral decomposition of the signal in the first layer of the neural acoustic model using a convolution layer. In this w…