1 citations · 1 across the 3 of their papers we have counts for
5 papers
BEST-STD2.0: Balanced and Efficient Speech Tokenizer for Spoken Term Detection
Anup Singh, Vipul Arora, Kris Demuynck
Fast and accurate spoken content retrieval is vital for applications such as voice search. Query-by-Example Spoken Term Detection (STD) involves retrieving matching segments from a…
Harmonic Summation-Based Robust Pitch Estimation in Noisy and Reverberant Environments
Anup Singh, Kris Demuynck
Accurate pitch estimation is essential for numerous speech processing applications, yet it remains challenging in high-distortion environments. This paper proposes a robust pitch e…
BEST-STD: Bidirectional Mamba-Enhanced Speech Tokenization for Spoken Term Detection
Anup Singh, Kris Demuynck, Vipul Arora
Spoken term detection (STD) is often hindered by reliance on frame-level features and the computationally intensive DTW-based template matching, limiting its practicality. To addre…
Simultaneously Learning Robust Audio Embeddings and balanced Hash codes for Query-by-Example
Anup Singh, Kris Demuynck, Vipul Arora
Audio fingerprinting systems must efficiently and robustly identify query snippets in an extensive database. To this end, state-of-the-art systems use deep learning to generate com…
Attention-Based Audio Embeddings for Query-by-Example
Anup Singh, Kris Demuynck, Vipul Arora
An ideal audio retrieval system efficiently and robustly recognizes a short query snippet from an extensive database. However, the performance of well-known audio fingerprinting sy…