In this paper, we evaluate the performance of several objective measures in terms of predicting the quality of noisy speech enhanced by noise suppression algorithms. The objective measures considered a wide range of distortions introduced by four types of real-world noise at two signal-to-noise ratio levels by four classes of speech enhancement algorithms: spectral subtractive, subspace, statistical-model based, and Wiener algorithms. The subjective quality ratings were obtained using the ITU-T P.835 methodology designed to evaluate the quality of enhanced speech along three dimensions: signal distortion, noise distortion, and overall quality. This paper reports on the evaluation of correlations of several objective measures with these three subjective rating scales. Several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.

Yi Hu

Philipos C. Loizou

IEEE Transactions on Audio Speech and Language Processing

The IEEE Transactions on Audio, Speech and Language Processing covers the sciences, technologies and applications relating to the analysis, coding, enhancement, recognition and synthesis of audio, music, speech and language. In particular, audio processing also covers auditory modeling, acoustic modeling and source separation. Speech processing also covers speech production and perception, adaptation, lexical modeling and speaker recognition. Language processing also covers spoken language understanding, translation, summarization, mining, general language modeling, as well as spoken dialog systems.

The IEEE Transactions on Audio, Speech and Language Processing covers the sciences, technologies, and applications related to the analysis, coding, enhancement, recognition, and synthesis of audio, music, speech, and language. Specifically, audio processing includes auditory modeling, acoustic modeling, and source separation. Speech processing encompasses speech production and perception, adaptation, lexical modeling, and speaker recognition. Language processing involves spoken language understanding, translation, summarization, mining, general language modeling, and spoken dialog systems.

《IEEE Transactions on Audio, Speech and Language Processing》涵盖了与音频、音乐、语音和语言的分析、编码、增强、识别和合成相关的科学、技术和应用。具体而言，音频处理还包括听觉建模、声学建模和源分离。语音处理涉及语音的产生和感知、适应、词汇建模和说话人识别。语言处理则包括口语理解、翻译、摘要、挖掘、通用语言建模以及口语对话系统。

IEEE Transactions on Audio, Speech and Language Processing

IEEE Trans. Audio Speech Lang. Process.

Evaluation of Objective Quality Measures for Speech Enhancement

The evaluation of correlations of several objective measures with these three subjective rating scales is reported on and several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.

Evaluation of Objective Quality Measures for Speech Enhancement

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