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pro vyhledávání: '"Radhi, Mohammed"'
Neural network-based Text-to-Speech has significantly improved the quality of synthesized speech. Prominent methods (e.g., Tacotron2, FastSpeech, FastPitch) usually generate Mel-spectrogram from text and then synthesize speech using vocoder (e.g., Wa
Externí odkaz:
http://arxiv.org/abs/2208.07122
Traditional vocoder-based statistical parametric speech synthesis can be advantageous in applications that require low computational complexity. Recent neural vocoders, which can produce high naturalness, still cannot fulfill the requirement of being
Externí odkaz:
http://arxiv.org/abs/2108.01154
Autor:
Saify Samir, Radhi Mohammed Sattar, Al-Mashhadi Samer A., Mareai Basim, Jabr Sarah Fadel, Mohammed Zainab Adel, Al-Khafaji Zainab, Al-Husseinawi Fatimah
Publikováno v:
Open Engineering, Vol 13, Iss 1, Pp 56-72 (2023)
Pozzolanic materials, glass powder, and silica fume (SF) have all been used in concrete recently as a partial cement substitution to increase the strength of the concrete. The aim of this study is to analyze the impact of waste glass powder (WGP) and
Externí odkaz:
https://doaj.org/article/fe052b6dd35b42be99fe002439a4da65
Vocoders received renewed attention as main components in statistical parametric text-to-speech (TTS) synthesis and speech transformation systems. Even though there are vocoding techniques give almost accepted synthesized speech, their high computati
Externí odkaz:
http://arxiv.org/abs/2106.10481
To date, various speech technology systems have adopted the vocoder approach, a method for synthesizing speech waveform that shows a major role in the performance of statistical parametric speech synthesis. WaveNet one of the best models that nearly
Externí odkaz:
http://arxiv.org/abs/2106.06863
Autor:
Al-Radhi, Mohammed Salah
This Ph.D. thesis focuses on developing a system for high-quality speech synthesis and voice conversion. Vocoder-based speech analysis, manipulation, and synthesis plays a crucial role in various kinds of statistical parametric speech research. Altho
Externí odkaz:
http://arxiv.org/abs/2101.10278
Autor:
Sallal, Hayder Abbas, Mahboba, Mohammed Hamid, Radhi, Mohammed S., Hanif, Asad, Al-Khafaji, Zainab S., Ahmad, Shamsad, Yaseen, Zaher Mundher
Publikováno v:
In Journal of King Saud University - Science February 2024 36(2)
Autor:
Al-Shammary, Dhiah, Radhi, Mohammed, AlSaeedi, Ali Hakem, Mahdi, Ahmed M., Ibaida, Ayman, Ahmed, Khandakar
Publikováno v:
In Informatics in Medicine Unlocked 2024 47
Autor:
Csapó, Tamás Gábor, Al-Radhi, Mohammed Salah, Németh, Géza, Gosztolya, Gábor, Grósz, Tamás, Tóth, László, Markó, Alexandra
Recently it was shown that within the Silent Speech Interface (SSI) field, the prediction of F0 is possible from Ultrasound Tongue Images (UTI) as the articulatory input, using Deep Neural Networks for articulatory-to-acoustic mapping. Moreover, text
Externí odkaz:
http://arxiv.org/abs/1906.09885
Recently in statistical parametric speech synthesis, we proposed a continuous sinusoidal model (CSM) using continuous F0 (contF0) in combination with Maximum Voiced Frequency (MVF), which was successfully giving state-of-the-art vocoders performance
Externí odkaz:
http://arxiv.org/abs/1904.06075