514 citations · 636 across the 11 of their papers we have counts for
11 papers
LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Robust Voice Activity Detection
Ioannis Stylianou, Achintya kr. Sarkar, Nauman Dawalatabad +2
Robust Voice Activity Detection (VAD) remains a challenging task, especially under noisy, diverse, and unseen acoustic conditions. Beyond algorithmic development, a key limitation…
Automatic Prediction of Amyotrophic Lateral Sclerosis Progression using Longitudinal Speech Transformer
Liming Wang, Yuan Gong, Nauman Dawalatabad +7
Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudi…
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation
Sameer Khurana, Nauman Dawalatabad, Antoine Laurent +4
Research in multilingual speech-to-text translation is topical. Having a single model that supports multiple translation tasks is desirable. The goal of this work it to improve cro…
On Unsupervised Uncertainty-Driven Speech Pseudo-Label Filtering and Model Calibration
Nauman Dawalatabad, Sameer Khurana, Antoine Laurent +1
Pseudo-label (PL) filtering forms a crucial part of Self-Training (ST) methods for unsupervised domain adaptation. Dropout-based Uncertainty-driven Self-Training (DUST) proceeds by…
Multi-stage Progressive Compression of Conformer Transducer for On-device Speech Recognition
Jash Rathod, Nauman Dawalatabad, Shatrughan Singh +1
The smaller memory bandwidth in smart devices prompts development of smaller Automatic Speech Recognition (ASR) models. To obtain a smaller model, one can employ the model compress…
Two-Pass End-to-End ASR Model Compression
Nauman Dawalatabad, Tushar Vatsal, Ashutosh Gupta +4
Speech recognition on smart devices is challenging owing to the small memory footprint. Hence small size ASR models are desirable. With the use of popular transducer-based models,…
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18
SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the research and development of neural speech processing technologies by being simple, fle…
ECAPA-TDNN Embeddings for Speaker Diarization
Nauman Dawalatabad, Mirco Ravanelli, François Grondin +3
Learning robust speaker embeddings is a crucial step in speaker diarization. Deep neural networks can accurately capture speaker discriminative characteristics and popular deep emb…
Front-end Diarization for Percussion Separation in Taniavartanam of Carnatic Music Concerts
Nauman Dawalatabad, Jilt Sebastian, Jom Kuriakose +3
Instrument separation in an ensemble is a challenging task. In this work, we address the problem of separating the percussive voices in the taniavartanam segments of Carnatic music…
Novel Architectures for Unsupervised Information Bottleneck based Speaker Diarization of Meetings
Nauman Dawalatabad, Srikanth Madikeri, C. Chandra Sekhar +1
Speaker diarization is an important problem that is topical, and is especially useful as a preprocessor for conversational speech related applications. The objective of this paper…
Incremental Transfer Learning in Two-pass Information Bottleneck based Speaker Diarization System for Meetings
Nauman Dawalatabad, Srikanth Madikeri, C Chandra Sekhar +1
The two-pass information bottleneck (TPIB) based speaker diarization system operates independently on different conversational recordings. TPIB system does not consider previously…