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of 28
pro vyhledávání: '"Sailor, Hardik"'
The effects of language mismatch impact speech anti-spoofing systems, while investigations and quantification of these effects remain limited. Existing anti-spoofing datasets are mainly in English, and the high cost of acquiring multilingual datasets
Externí odkaz:
http://arxiv.org/abs/2409.08346
This work details our approach to achieving a leading system with a 1.79% pooled equal error rate (EER) on the evaluation set of the Controlled Singing Voice Deepfake Detection (CtrSVDD). The rapid advancement of generative AI models presents signifi
Externí odkaz:
http://arxiv.org/abs/2409.02302
Self-supervised learning (SSL) speech representation models, trained on large speech corpora, have demonstrated effectiveness in extracting hierarchical speech embeddings through multiple transformer layers. However, the behavior of these embeddings
Externí odkaz:
http://arxiv.org/abs/2406.10283
Autor:
Shastri, Parth, Patil, Chirag, Wanere, Poorval, Mahajan, Shrinivas, Bhatt, Abhishek, Sailor, Hardik
Spoken Language Identification (LID) is an important sub-task of Automatic Speech Recognition(ASR) that is used to classify the language(s) in an audio segment. Automatic LID plays an useful role in multilingual countries. In various countries, ident
Externí odkaz:
http://arxiv.org/abs/2205.15747
Training a robust Automatic Speech Recognition (ASR) system for children's speech recognition is a challenging task due to inherent differences in acoustic attributes of adult and child speech and scarcity of publicly available children's speech data
Externí odkaz:
http://arxiv.org/abs/2203.06600
Akademický článek
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Autor:
Swain, Om Prakash, Hemanth, H., Saran, Puneet, Kothandaraman, Mohanaprasad, Ravi, Logesh, Sailor, Hardik, Rajesh, K. S.
Publikováno v:
International Journal of Speech Technology; Dec2023, Vol. 26 Issue 4, p919-931, 13p
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7790297113080e62f2cb4261d529f78c
Publikováno v:
APSIPA Transactions on Signal & Information Processing; 2020, Vol. 9, p1-18, 18p
Akademický článek
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