| End-to-end audio-scene classification from raw audio: Multi time-frequency resolution CNN architecture for efficient representation learning TV Kumar, RS Sundar, T Purohit*, V Ramasubramanian 2020 International Conference on Signal Processing and Communications (SPCOM …, 2020 | 9 | 2020 |
| Acoustic scene classification using deep CNN on raw-waveform T Purohit, A Agarwal, V Ramasubramanian Tech. Rep., DCASE2018 Challenge, 2018 | 9 | 2018 |
| Comparing biosignal and acoustic feature representation for continuous emotion recognition S Yadav, T Purohit, Z Mostaani, B Vlasenko, M Magimai.-Doss Proceedings of the 3rd International on Multimodal Sentiment Analysis …, 2022 | 7 | 2022 |
| Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track T Purohit, I Ben Mahmoud, B Vlasenko, M Magimai Doss Proceedings of the ICML Expressive Vocalizations Workshop & Competition 2022 …, 2022 | 5 | 2022 |
| Towards learning emotion information from short segments of speech T Purohit, S Yadav, B Vlasenko, SP Dubagunta, MM Doss ICASSP 2023 IEEE International Conference on Acoustics, Speech and Signal …, 2023 | 2 | 2023 |
| SPIRE VCV: An Acoustic-Articulatory Corpus with Three Different Speaking Rates T Purohit, T Umesh, S Narayanan, S Minulakshmi, PK Ghosh 2021 24th Conference of the Oriental COCOSDA International Committee for the …, 2021 | 1 | 2021 |
| Impact of Speaking Rate on the Source Filter Interaction in Speech: A Study T Purohit, A Rao, PK Ghosh ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal …, 2021 | 1 | 2021 |
| An Investigation of the Virtual Lip Trajectories During the Production of Bilabial Stops and Nasal at Different Speaking Rates. T Purohit, PK Ghosh Proc. INTERSPEECH, 1401-1405, 2020 | 1 | 2020 |
| Implicit phonetic information modeling for speech emotion recognition T Purohit, B Vlasenko, MM Doss Proc. INTERSPEECH, 1883-1887, 2023 | | 2023 |
| A Study on the Importance of Formant Transitions for Stop-Consonant Classification in VCV Sequence S Chandrasekar, A Ramesh, T Purohit, PK Ghosh Proc. INTERSPEECH, 4518-4522, 2023 | | 2023 |
| If you are happy and you know it, your speech will surely show it: A CNN based speech emotion detector T Purohit, M Boissat Tech. Rep., Machine Learning CS-433, EPFL Switzerland, 2021 | | 2021 |
| Component-specific temporal decomposition: application to enhanced speech coding and co-articulation analysis T Purohit, V Ramasubramanian 2020 International Conference on Signal Processing and Communications (SPCOM …, 2020 | | 2020 |
| Detection of emotional states of OCD patients in an exposure-response prevention therapy scenario K Gupta, A Zulfiqar, P Ramu, T Purohit, V Ramasubramanian Proc. SMM19, Workshop on Speech, Music and Mind 2019, 21-25, 2019 | | 2019 |
| Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction LF Parra-Gallego, T Purohit, B Vlasenko, JR Orozco-Arroyave, MM Doss | | |
| Multi-temporal end-to-end CNN: Audio-scene classification, speech emotion recognition and accent identification from raw speech signal P Ramu, TV Kumar, RS Sundar, A Zulfiqar, R Ranjan, PN Jalli, T Purohit, ... | | |
| Multi-temporal CNN for music genre classification KR Reddy, V Ramasubramanian | | |
Mathew Magimai DossSenior Researcher, Idiap Research Institute, Martigny, Switzerland在 idiap.ch 的电子邮件经过验证
