Learning With Learned Loss Function: Speech Enhancement With Quality-Net to Improve Perceptual Evaluation of Speech Quality
نویسندگان
چکیده
منابع مشابه
Evaluation and Validation of a New Perceptual Speech Quality Measure for Speech Enhancement
Analysis of denoised speech using enhancement algorithms shows the presence of two kinds of degradation: speech distortion and residual background noise. Due to the fact that objective criteria are not able to evaluate separately them, we tested one composite criteria and we proposed a novel couple separating speech distortion and residual background noise. Firstly, we show the ability of propo...
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In this paper methods for determination of perceptual quality of speech transmission and speech enhancement systems are discussed. The rating categories introduced in the listening test (7.) are not meant to replace existing "objective" or "technical" measures. They are meant to complement the description of a device under test and place more emphasize on the end-users impression of the system....
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Most telecommunication systems are used for communication between two people which interact during a conversation. In general, the quality of conversational speech is the major indicator for telecommunication-service providers to evaluate their systems. In this context, not only the assessment of the overall quality but also the analysis of the conversational speech quality is essential. We pre...
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In the context of telecommunications, speech quality is the most visible and important aspects of quality of service (QoS), and the ability to monitor and design for this quality should be a top priority. Speech quality refers to the clearness of a speaker’s voice as perceived by a listener. Its measurement offers a means of adding the human end-user’s perspective to traditional ways of perform...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2020
ISSN: 1070-9908,1558-2361
DOI: 10.1109/lsp.2019.2953810