62 citations · 96 across the 9 of their papers we have counts for
10 papers
Speech enhancement deep-learning architecture for efficient edge processing
Monisankha Pal, Arvind Ramanathan, Ted Wada +1
Deep learning has become a de facto method of choice for speech enhancement tasks with significant improvements in speech quality. However, real-time processing with reduced size a…
Synthetic speech detection using meta-learning with prototypical loss
Monisankha Pal, Aditya Raikar, Ashish Panda +1
Recent works on speech spoofing countermeasures still lack generalization ability to unseen spoofing attacks. This is one of the key issues of ASVspoof challenges especially with t…
Adversarial defense for deep speaker recognition using hybrid adversarial training
Monisankha Pal, Arindam Jati, Raghuveer Peri +3
Deep neural network based speaker recognition systems can easily be deceived by an adversary using minuscule imperceptible perturbations to the input speech samples. These adversar…
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems
Arindam Jati, Chin-Cheng Hsu, Monisankha Pal +3
Robust speaker recognition, including in the presence of malicious attacks, is becoming increasingly important and essential, especially due to the proliferation of several smart s…
Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization
Monisankha Pal, Manoj Kumar, Raghuveer Peri +5
The performance of most speaker diarization systems with x-vector embeddings is both vulnerable to noisy environments and lacks domain robustness. Earlier work on speaker diarizati…
Robust speaker recognition using unsupervised adversarial invariance
Raghuveer Peri, Monisankha Pal, Arindam Jati +2
In this paper, we address the problem of speaker recognition in challenging acoustic conditions using a novel method to extract robust speaker-discriminative speech representations…
A study of semi-supervised speaker diarization system using gan mixture model
Monisankha Pal, Manoj Kumar, Raghuveer Peri +1
We propose a new speaker diarization system based on a recently introduced unsupervised clustering technique namely, generative adversarial network mixture model (GANMM). The propo…
Speaker diarization using latent space clustering in generative adversarial network
Monisankha Pal, Manoj Kumar, Raghuveer Peri +5
In this work, we propose deep latent space clustering for speaker diarization using generative adversarial network (GAN) backprojection with the help of an encoder network. The pro…
Robustness of Voice Conversion Techniques Under Mismatched Conditions
Monisankha Pal, Dipjyoti Paul, Md Sahidullah +1
Most of the existing studies on voice conversion (VC) are conducted in acoustically matched conditions between source and target signal. However, the robustness of VC methods in pr…
Novel Speech Features for Improved Detection of Spoofing Attacks
Dipjyoti Paul, Monisankha Pal, Goutam Saha
Now-a-days, speech-based biometric systems such as automatic speaker verification (ASV) are highly prone to spoofing attacks by an imposture. With recent development in various voi…