| Loft: Local proxy fine-tuning for improving transferability of adversarial attacks against large language model MA Shah, R Sharma, H Dhamyal, R Olivier, A Shah, J Konan, D Alharthi, ... arXiv preprint arXiv:2310.04445, 2023 | 31 | 2023 |
| Prompting audios using acoustic properties for emotion representation H Dhamyal, B Elizalde, S Deshmukh, H Wang, B Raj, R Singh ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 23* | 2024 |
| Fake Audio Detection in Resource-Constrained Settings Using Microfeatures. H Dhamyal, A Ali, IA Qazi, AA Raza Interspeech, 4149-4153, 2021 | 21 | 2021 |
| The phonetic bases of vocal expressed emotion: natural versus acted H Dhamyal, SA Memon, B Raj, R Singh arXiv preprint arXiv:1911.05733, 2019 | 15 | 2019 |
| On the evaluation of speech foundation models for spoken language understanding S Arora, A Pasad, CM Chien, J Han, R Sharma, J Jung, H Dhamyal, ... arXiv preprint arXiv:2406.10083, 2024 | 12 | 2024 |
| Using self attention dnns to discover phonemic features for audio deep fake detection H Dhamyal, A Ali, IA Qazi, AA Raza 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 12 | 2021 |
| Selm: Enhancing speech emotion recognition for out-of-domain scenarios H Bukhari, S Deshmukh, H Dhamyal, B Raj, R Singh arXiv preprint arXiv:2407.15300, 2024 | 8 | 2024 |
| Evaluating speech synthesis by training recognizers on synthetic speech D Alharthi, R Sharma, H Dhamyal, S Maiti, B Raj, R Singh arXiv preprint arXiv:2310.00706, 2023 | 8 | 2023 |
| Unifying the discrete and continuous emotion labels for speech emotion recognition R Sharma, H Dhamyal, B Raj, R Singh arXiv preprint arXiv:2210.16642, 2022 | 8 | 2022 |
| Detecting gender differences in perception of emotion in crowdsourced data SA Memon, H Dhamyal, O Wright, D Justice, V Palat, W Boler, B Raj, ... arXiv preprint arXiv:1910.11386, 2019 | 8 | 2019 |
| Positional Encoding for Capturing Modality Specific Cadence for Emotion Detection H Dhamyal, B Raj, R Singh Proc. Interspeech 2022, 166-170, 2022 | 7 | 2022 |
| Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization? R Sharma, S Shon, M Lindsey, H Dhamyal, B Raj Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 5 | 2024 |
| Self-supervision and learnable strfs for age, emotion, and country prediction R Sharma, T Vuong, M Lindsey, H Dhamyal, R Singh, B Raj arXiv preprint arXiv:2206.12568, 2022 | 5 | 2022 |
| Masked proxy loss for text-independent speaker verification J Lian, AV Kumar, H Dhamyal, B Raj, R Singh arXiv preprint arXiv:2011.04491, 2020 | 3 | 2020 |
| Optimizing neural network embeddings using a pair-wise loss for text-independent speaker verification H Dhamyal, T Zhou, B Raj, R Singh 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 3 | 2019 |
| Pdaf: A phonetic debiasing attention framework for speaker verification M Baali, A Aldoobi, H Dhamyal, R Singh, B Raj 2024 IEEE Spoken Language Technology Workshop (SLT), 1209-1216, 2024 | 2 | 2024 |
| Objective measurements of voice quality H Dhamyal, R Singh arXiv preprint arXiv:2410.09578, 2024 | 2 | 2024 |
| R-BASS: Relevance-aided Block-wise Adaptation for Speech Summarization R Sharma, R Sharma, H Dhamyal, R Singh, B Raj Findings of the Association for Computational Linguistics: NAACL 2024, 848-857, 2024 | 1 | 2024 |
| Using Voicebox-based Synthetic Speech for ASR Adaptation H Dhamyal, L Sari, V Manohar, N Singhal, C Wu, J Mahadeokar, M Le, ... Proc. SynData4GenAI 2024, 36-40, 2024 | 1 | 2024 |
| On the pragmatism of using binary classifiers over data intensive neural network classifiers for detection of COVID-19 from voice A Shah, H Dhamyal, Y Gao, D Arancibia, M Arancibia, B Raj, R Singh arXiv preprint arXiv:2204.04802, 2022 | 1 | 2022 |
Bhiksha RajCarnegie Mellon UniversityVerified email at cs.cmu.edu
