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pro vyhledávání: '"Dissen, Yehoshua"'
Autor:
Turetzky, Arnon, Tal, Or, Segal-Feldman, Yael, Dissen, Yehoshua, Zeldes, Ella, Roth, Amit, Cohen, Eyal, Shrem, Yosi, Chernyak, Bronya R., Seleznova, Olga, Keshet, Joseph, Adi, Yossi
We present HebDB, a weakly supervised dataset for spoken language processing in the Hebrew language. HebDB offers roughly 2500 hours of natural and spontaneous speech recordings in the Hebrew language, consisting of a large variety of speakers and to
Externí odkaz:
http://arxiv.org/abs/2407.07566
In the realm of automatic speech recognition (ASR), robustness in noisy environments remains a significant challenge. Recent ASR models, such as Whisper, have shown promise, but their efficacy in noisy conditions can be further enhanced. This study i
Externí odkaz:
http://arxiv.org/abs/2406.18928
Over the last few years, deep learning has grown in popularity for speaker verification, identification, and diarization. Inarguably, a significant part of this success is due to the demonstrated effectiveness of their speaker representations. These,
Externí odkaz:
http://arxiv.org/abs/2204.04166
In this paper we present a domain adaptation technique for formant estimation using a deep network. We first train a deep learning network on a small read speech dataset. We then freeze the parameters of the trained network and use several different
Externí odkaz:
http://arxiv.org/abs/1611.01783
Akademický článek
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