Manoj Kumar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

Top Topics

Invariant Representations

Speaker Diarization

Top Venues

Publications

Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh
Quantitative Certification of Bias in Large Language Models. CoRR (2024)
Manoj Kumar, Anna Rumshisky, Rahul Gupta
Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. AACL/IJCNLP (1) (2022)
Zane Durante, Victor Ardulov, Manoj Kumar, Jennifer Gongola, Thomas D. Lyon, Shrikanth Narayanan
Causal indicators for assessing the truthfulness of child speech in forensic interviews. Comput. Speech Lang. 71 (2022)
Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza
Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) (2022)
Tae Jin Park, Manoj Kumar, Shrikanth Narayanan
Multi-Scale Speaker Diarization with Neural Affinity Score Fusion. ICASSP (2021)
Suchitra Krishnamachari, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth Narayanan
Developing Neural Representations for Robust Child-Adult Diarization. SLT (2021)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan
Meta-Learning With Latent Space Clustering in Generative Adversarial Network for Speaker Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. SLT (2021)
Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification. CoRR (2021)
Manoj Kumar, So Hyun Kim, Catherine Lord, Thomas D. Lyon, Shrikanth Narayanan
Leveraging Linguistic Context in Dyadic Interactions to Improve Automatic Speech Recognition for Children. Comput. Speech Lang. 63 (2020)
Manoj Kumar, Tae Jin Park, Somer Bishop, Shrikanth Narayanan
Designing Neural Speaker Embeddings with Meta Learning. CoRR (2020)
Tae Jin Park, Kyu J. Han, Manoj Kumar, Shrikanth Narayanan
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap. CoRR (2020)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan
Speaker Diarization Using Latent Space Clustering in Generative Adversarial Network. ICASSP (2020)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan
Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization. CoRR (2020)
Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth Narayanan
Meta-Learning for Robust Child-Adult Classification from Speech. ICASSP (2020)
Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth Narayanan
Learning Domain Invariant Representations for Child-Adult Classification from Speech. ICASSP (2020)
Tae Jin Park, Kyu J. Han, Manoj Kumar, Shrikanth Narayanan
Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap. IEEE Signal Process. Lett. 27 (2020)
Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth S. Narayanan
Learning Domain Invariant Representations for Child-Adult Classification from Speech. CoRR (2019)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth S. Narayanan
Speaker diarization using latent space clustering in generative adversarial network. CoRR (2019)
Monisankha Pal, Manoj Kumar, Raghuveer Peri, Shrikanth S. Narayanan
A study of semi-supervised speaker diarization system using gan mixture model. CoRR (2019)
Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth S. Narayanan
Meta-learning for robust child-adult classification from speech. CoRR (2019)
Tae Jin Park, Manoj Kumar, Nikolaos Flemotomos, Monisankha Pal, Raghuveer Peri, Rimita Lahiri, Panayiotis G. Georgiou, Shrikanth Narayanan
The Second DIHARD Challenge: System Description for USC-SAIL Team. INTERSPEECH (2019)
Manoj Kumar, Pooja Chebolu, So Hyun Kim, Kassandra Martinez, Catherine Lord, Shrikanth S. Narayanan
A Knowledge Driven Structural Segmentation Approach for Play-Talk Classification During Autism Assessment. INTERSPEECH (2018)
Jilt Sebastian, Manoj Kumar, Pavan Kumar D. S., Mathew Magimai-Doss, Hema A. Murthy, Shrikanth S. Narayanan
Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech. INTERSPEECH (2018)
Victor Ardulov, Manoj Kumar, Shanna Williams, Thomas D. Lyon, Shrikanth S. Narayanan
Measuring Conversational Productivity in Child Forensic Interviews. CoRR (2018)
Manoj Kumar, Pavlos Papadopoulos, Ruchir Travadi, Daniel Bone, Shrikanth S. Narayanan
Improving Semi-Supervised Classification for Low-Resource Speech Interaction Applications. ICASSP (2018)
Victor Ardulov, Madelyn Mendlen, Manoj Kumar, Neha Anand, Shanna Williams, Thomas D. Lyon, Shrikanth S. Narayanan
Multimodal Interaction Modeling of Child Forensic Interviewing. ICMI (2018)
Manoj Kumar, Daniel Bone, Kelly McWilliams, Shanna Williams, Thomas D. Lyon, Shrikanth S. Narayanan
Multi-Scale Context Adaptation for Improving Child Automatic Speech Recognition in Child-Adult Spoken Interactions. INTERSPEECH (2017)
Manoj Kumar, Rahul Gupta, Daniel Bone, Nikolaos Malandrakis, Somer Bishop, Shrikanth S. Narayanan
Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment. INTERSPEECH (2016)