4 citations · 4 across the 4 of their papers we have counts for
5 papers
Phonetic Word Embeddings
Rahul Sharma, Kunal Dhawan, Balakrishna Pailla
This work presents a novel methodology for calculating the phonetic similarity between words taking motivation from the human perception of sounds. This metric is employed to learn…
Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features
Kunal Dhawan, Colin Vaz, Ruchir Travadi +1
We propose an algorithm to extract noise-robust acoustic features from noisy speech. We use Total Variability Modeling in combination with Non-negative Matrix Factorization (NMF) t…
Investigating Target Set Reduction for End-to-End Speech Recognition of Hindi-English Code-Switching Data
Kunal Dhawan, Ganji Sreeram, Kumar Priyadarshi +1
End-to-end (E2E) systems are fast replacing the conventional systems in the domain of automatic speech recognition. As the target labels are learned directly from speech data, the…
Joint Language Identification of Code-Switching Speech using Attention based E2E Network
Sreeram Ganji, Kunal Dhawan, Kumar Priyadarshi +1
Language identification (LID) has relevance in many speech processing applications. For the automatic recognition of code-switching speech, the conventional approaches often employ…
Hindi-English Code-Switching Speech Corpus
Ganji Sreeram, Kunal Dhawan, Rohit Sinha
Code-switching refers to the usage of two languages within a sentence or discourse. It is a global phenomenon among multilingual communities and has emerged as an independent area…