102 citations · 746 across the 75 of their papers we have counts for
26 papers · 1 filter
Multi-Scale Speaker Diarization With Neural Affinity Score Fusion
Tae Jin Park, Manoj Kumar, Shrikanth Narayanan
Identifying the identity of the speaker of short segments in human dialogue has been considered one of the most challenging problems in speech signal processing. Speaker representa…
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…
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts
Victor R Martinez, Krishna Somandepalli, Karan Singla +3
Violent content in the media can influence viewers' perception of the society. For example, frequent depictions of certain demographics as victims or perpetrators of violence can s…
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…
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors
Keith Burghardt, Nazgol Tavabi, Emilio Ferrara +2
Life events can dramatically affect our psychological state and work performance. Stress, for example, has been linked to professional dissatisfaction, increased anxiety, and workp…
Designing Neural Speaker Embeddings with Meta Learning
Manoj Kumar, Tae Jin-Park, Somer Bishop +1
Neural speaker embeddings trained using classification objectives have demonstrated state-of-the-art performance in multiple applications. Typically, such embeddings are trained on…