4 citations · 5 across the 5 of their papers we have counts for
5 papers
Evaluating Pretrained General-Purpose Audio Representations for Music Genre Classification
Kashish Rai, Mrinmoy Bhattacharjee
This study investigates the use of self-supervised learning embeddings, particularly BYOL-A, in conjunction with a deep neural network classifier for Music Genre Classification. Ou…
Timbre-Aware LLM-based Direct Speech-to-Speech Translation Extendable to Multiple Language Pairs
Lalaram Arya, Mrinmoy Bhattacharjee, Adarsh C. R. +1
Direct Speech-to-Speech Translation (S2ST) has gained increasing attention for its ability to translate speech from one language to another, while reducing error propagation and la…
Fusion of Modulation Spectrogram and SSL with Multi-head Attention for Fake Speech Detection
Rishith Sadashiv T N, Abhishek Bedge, Saisha Suresh Bore +3
Fake speech detection systems have become a necessity to combat against speech deepfakes. Current systems exhibit poor generalizability on out-of-domain speech samples due to lack…
I-MSV 2022: Indic-Multilingual and Multi-sensor Speaker Verification Challenge
Jagabandhu Mishra, Mrinmoy Bhattacharjee, S. R. Mahadeva Prasanna
Speaker Verification (SV) is a task to verify the claimed identity of the claimant using his/her voice sample. Though there exists an ample amount of research in SV technologies, t…
Time-Frequency Audio Features for Speech-Music Classification
Mrinmoy Bhattacharjee, S. R. M. Prasanna, Prithwijit Guha
Distinct striation patterns are observed in the spectrograms of speech and music. This motivated us to propose three novel time-frequency features for speech-music classification.…