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ORCIDRam C. M. C. Shekar
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2020 – today
- 2023
[c4]Iván López-Espejo
, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen:
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting. ICASSP 2023: 1-5- [c3]Ram C. M. C. Shekar, Mu Yang, Kevin Hirschi, Stephen D. Looney, Okim Kang, John H. L. Hansen:
Assessment of Non-Native Speech Intelligibility using Wav2vec2-based Mispronunciation Detection and Multi-level Goodness of Pronunciation Transformer. INTERSPEECH 2023: 984-988 - [c2]Mu Yang, Ram C. M. C. Shekar, Okim Kang, John H. L. Hansen:
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model. INTERSPEECH 2023: 1923-1927 - [i2]Mu Yang, Ram C. M. C. Shekar, Okim Kang, John H. L. Hansen:
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model. CoRR abs/2306.06524 (2023) - 2022
- [i1]Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen:
Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise. CoRR abs/2211.10565 (2022) - 2021
- [c1]Ram C. M. C. Shekar, Chelzy Belitz, John H. L. Hansen:
Development of CNN-Based Cochlear Implant and Normal Hearing Sound Recognition Models Using Natural and Auralized Environmental Audio. SLT 2021: 728-733
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