Enhancement of speech signal corrupted by high acoustic noise
| Autor: | Wee-Soon Ching, Peng-Seng Toh |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Masking (art)
Voice activity detection Computer science Speech recognition Speech coding Acoustic model Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Speech synthesis Intelligibility (communication) Linear predictive coding computer.software_genre Speech processing Noise Codec2 Computer Science::Sound Active listening computer |
| Zdroj: | Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation. |
| DOI: | 10.1109/tencon.1993.320066 |
| Popis: | Additive broadband noise is a common source of corruption in speech signals and often limits the effective operation of speech communication systems. This paper presents a new spectral-subtraction-based speech enhancement algorithm which exploits the correlation property of speech signal, the masking characteristic of the human ear, the speech redundancy property, and the frame-to-frame randomness of the noise that is present in the signal for the enhancement. Informal listening tests show that the proposed algorithm greatly improved the quality of the noisy speech even when the speech signal is corrupted by high acoustic noise. As the algorithm has low complexity and uses only a single input, it is well suited to a wide range of speech processing applications. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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