A Survey Paper on Speech Enhancement Algorithms |
Author(s): |
| Ms. Priyanka V. Patil , Annasaheb Dange college of Engineering, Ashta ; Mr. Vikram A. Mane, Annasaheb Dange college of Engineering, Ashta |
Keywords: |
| Minimum Mean Square Error (MMSE), Short-Time Spectral Amplitude (STSA), Signal to Noise Ratio (SNR), Noise-To Mask Ratio (NMR), Diagnostic Rhyme Test (DRT), Semantically Unpredictable Sentences (SUS), Mean Squared Error (MSE), Ideal Binary Mask (IBM) |
Abstract |
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Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Speech extraction and enhancement is widely required in so many applications like Hearing Aid design, Music and audio Processing etc. The speech enhancement methods are studied in a large number of investigations. Still so many speech recognition systems perform poor in noisy environmental condition. It has been always remained challenge of extracting and enhancing the speech from the noisy speech. The objective of this study is a comparative study between different methods of speech enhancement. This paper tries to give an idea about the previous researches and their findings about the enhancement of required speech from noisy speech. |
Other Details |
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Paper ID: IJSRDV4I50799 Published in: Volume : 4, Issue : 5 Publication Date: 01/08/2016 Page(s): 1609-1612 |
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