341 citations · 501 across the 66 of their papers we have counts for
7 papers · 1 filter
ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge
Soumya Dutta, Smruthi Balaji, Varada R +2
Speech emotion recognition (SER) in naturalistic settings remains a challenge due to the intrinsic variability, diverse recording conditions, and class imbalance. As participants i…
MASR: Multi-label Aware Speech Representation
Anjali Raj, Shikhar Bharadwaj, Sriram Ganapathy +2
In the recent years, speech representation learning is constructed primarily as a self-supervised learning (SSL) task, using the raw audio signal alone, while ignoring the side-inf…
Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarization
Prachi Singh, Amrit Kaul, Sriram Ganapathy
Conventional methods for speaker diarization involve windowing an audio file into short segments to extract speaker embeddings, followed by an unsupervised clustering of the embedd…
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer
Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi
In this paper, we propose a model to perform style transfer of speech to singing voice. Contrary to the previous signal processing-based methods, which require high-quality singing…
End-to-end lyrics Recognition with Voice to Singing Style Transfer
Sakya Basak, Shrutina Agarwal, Sriram Ganapathy +1
Automatic transcription of monophonic/polyphonic music is a challenging task due to the lack of availability of large amounts of transcribed data. In this paper, we propose a data…
Improving Voice Separation by Incorporating End-to-end Speech Recognition
Naoya Takahashi, Mayank Kumar Singh, Sakya Basak +3
Despite recent advances in voice separation methods, many challenges remain in realistic scenarios such as noisy recording and the limits of available data. In this work, we propos…
The IBM 2016 Speaker Recognition System
Seyed Omid Sadjadi, Sriram Ganapathy, Jason W. Pelecanos
In this paper we describe the recent advancements made in the IBM i-vector speaker recognition system for conversational speech. In particular, we identify key techniques that cont…