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On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms
2019
International Journal of Interactive Multimedia and Artificial Intelligence
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Bivariate EMD was used to decompose the complex noisy signal into complex-valued IMFs and all IMFs were segmented into short-time frames for processing. ...
The grouping of segments is based on the frequency characteristics of unvoiced segments by considering thresholding and Bayesian classification. Kokkinakis et al. ...
doi:10.9781/ijimai.2019.12.001
fatcat:s4uyjqpezbddfexaas6dhaar3m
Speech Enhancement Modeling Towards Robust Speech Recognition System
[article]
2013
arXiv
pre-print
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In this contribution, speech enhancement system is introduced for enhancing speech signals corrupted by additive noise and improving the performance of Automatic Speech Recognizers in noisy conditions. ...
Automatic speech recognition experiments show that replacing noisy speech signals by the corresponding enhanced speech signals leads to an improvement in the recognition accuracies. ...
Spectral Subtraction: Spectral subtraction is a speech enhancement scheme based on a direct estimation of the short-time spectral magnitude of clean speech. ...
arXiv:1305.1426v1
fatcat:g35jkfvxwjdjjnhn6uw77xx5uu
Structural and affective aspects of music from statistical audio signal analysis
2006
Journal of the American Society for Information Science and Technology
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Understanding and modeling human experience and emotional response when listening to music are important for better understanding of the stylistic choices in musical composition. ...
The audio analysis was conducted on two recordings of an extended contemporary musical composition by one of the authors. ...
The method of calculation is based on an estimation of spectral flatness of each individual component, considered as a scalar time signal, as explained in the Appendix. ...
doi:10.1002/asi.20429
fatcat:xb4nh2yfufcu3ikfxj2hsx5vji
A Review on Machine Learning for Audio Applications
2021
Journal of University of Shanghai for Science and Technology
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In this paper, a review of the various algorithms used by researchers in the past has been described and gives the appropriate algorithm that can be used for the respective applications. ...
It deals with the manipulation of the audio signals to achieve a task like filtering, data compression, speech processing, noise suppression, etc. which improves the quality of the audio signal. ...
The estimation of an audio file's intrinsic SMR can be represented as a regression issue based on the concept of speechto-music ratio. ...
doi:10.51201/jusst/21/06508
fatcat:iwj523grmnfm3awyiks6ebncgm
Acoustic Echo Cancellation Postfilter Design Issues For Speech Recognition System
[article]
2013
arXiv
pre-print
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A disadvantage is that the input signal of the Acoustic echo cancellation (AEC) has a low signal-to-noise ratio (SNR). ...
The main advantage of this approach is that the residual echo and noise suppression does not suffer from the existence of a strong acoustic echo component. ...
Late Reverberant Spectral Variance Estimation It requires an estimator for the late reverberant spectral variance of the near-end speech signal. ...
arXiv:1305.1141v1
fatcat:zlvx5hokqzgv7gzpfl2ur7kbda
Single Channel Speech Enhancement Techniques in Spectral Domain
2012
ISRN Mechanical Engineering
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One of the most famous single channel speech enhancement techniques is the spectral subtraction method proposed by S.F. Boll in 1979. ...
The results show that an adaptive speech enhancement method based on MAP estimation gives the best noise reduction capability in comparison to other speech enhancement methods presented in this paper. ...
The spectral subtraction method [3] is one of the most popular methods among numerous noise reduction techniques in spectral domain. ...
doi:10.5402/2012/919234
fatcat:kryigy6zpbgobmi2237mfktqom
A Simplified Early Auditory Model with Application in Speech/Music Classification
2006
2006 Canadian Conference on Electrical and Computer Engineering
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The past decade has seen extensive research on audio classification and segmentation algorithms. ...
In this paper, by introducing certain modifications we propose a simplified version of this model which is linear except for the calculation of the square-root value of the energy. ...
that significant reductions in computational complexity can be achieved. ...
doi:10.1109/ccece.2006.277665
dblp:conf/ccece/ChuC06
fatcat:4s5qlg3ejfdstgcwctahez2gse
A Block-Based Linear MMSE Noise Reduction with a High Temporal Resolution Modeling of the Speech Excitation
2005
EURASIP Journal on Advances in Signal Processing
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For resource-limited applications such as hearing aids, the performance-to-complexity trade-off can be conveniently adjusted by tuning the number of spectral components to be included in the estimate of ...
The proposed algorithm improves the segmental SNR of the noisy signal by 13 dB for the white noise case with an input SNR of 0 dB. ...
ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their many constructive suggestions, which have largely improved the presentation of our results. ...
doi:10.1155/asp.2005.2965
fatcat:2uxoww2qk5hxjeiqbpgsk3ysme
A simplified early auditory model with application in audio classification
2006
Canadian journal of electrical and computer engineering
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In this paper, certain modifications are introduced to develop a simplified version of this model which is linear except for the calculation of the square-root value of the energy. ...
The past decade has seen extensive research on audio classification and segmentation algorithms. ...
that significant reductions in computational complexity can be achieved. ...
doi:10.1109/cjece.2006.259178
fatcat:qatmi45745fhvglpngxommoxg4
Spectral Anticipations
2006
Computer Music Journal
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Conclusion This paper described a new measure for evaluation of randomness in case of complex signals based on the notion of anticipation. ...
contents is , דצמבר based on individual judgments of musical anticipation. ...
doi:10.1162/comj.2006.30.2.63
fatcat:ziddpfhtifbulngjvxtai4sdie
A parametric formulation of the generalized spectral subtraction method
1998
IEEE Transactions on Speech and Audio Processing
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In this paper, two short-time spectral amplitude estimators of the speech signal are derived based on a parametric formulation of the original generalized spectral subtraction method. ...
Based on the formulation, the speech spectral amplitude estimator is derived and optimized by minimizing the mean-square error (MSE) of the speech spectrum. ...
Er for his helpful comments in the first draft of this work. ...
doi:10.1109/89.701361
fatcat:xdlhs4iwmrdhrfcv4ostc7e4oa
A Two-Sensor Noise Reduction System: Applications for Hands-Free Car Kit
2003
EURASIP Journal on Advances in Signal Processing
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Particular attention is focused on the estimation of the different spectral densities (noise and noisy signals power spectral densities) which are critical for the quality of the algorithm. ...
Results on recorded signals are provided, showing the superiority of the two-sensor approach to single microphone techniques. ...
CONCLUSION In this paper, we proposed a two-sensor noise reduction algorithm based on cross-spectral subtraction. ...
doi:10.1155/s1110865703305098
fatcat:j64265yjrzb43n7ugffpaxm5z4
Detecting the Trend in Musical Taste over the Decade -- A Novel Feature Extraction Algorithm to Classify Musical Content with Simple Features
[article]
2018
arXiv
pre-print
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So, using this general idea of the Musical Community we propose three frames to be considered and analyzed for feature extraction for each of the audio signal -- opening, stanzas and closing -- and it ...
This uses a very basic general idea about the structure of the audio signal which is generally in the shape of a trapezium. ...
I would like to thank Professor Padhraich Smyth for offering CS277 and making it fun and flexible-an open environment to learn and more importantly to think in a new way. ...
arXiv:1901.02053v1
fatcat:2nagd6kgqjhapktcyr75zutjye
Kalman tracking of linear predictor and harmonic noise models for noisy speech enhancement
2008
Computer Speech and Language
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This paper presents a speech enhancement method based on the tracking and denoising of the formants of a linear prediction (LP) model of the spectral envelope of speech and the parameters of a harmonic ...
The HNM parameters for the excitation signal comprise; voiced/unvoiced decision, the fundamental frequency, the harmonics' amplitudes and the variance of the noise component of excitation. ...
Acknowledgement We thank the UK's EPSRC for funding project No. GR/S30238/01. ...
doi:10.1016/j.csl.2007.06.002
fatcat:26sfaiximjee5p4cf2zxcb6yye
Music Identification System Using MPEG-7 Audio Signature Descriptors
2013
The Scientific World Journal
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This paper describes a multiresolution system based on MPEG-7 audio signature descriptors for music identification. ...
Simulation results show that the proposed method II can achieve an accuracy of 99.4% for query inputs both inside and outside the database. ...
Acknowledgment This work was supported in part by National Science Council of Taiwan through Grants NSC 94-2213-E-027-042 and 99-2221-E-027-097. ...
doi:10.1155/2013/752464
pmid:23533359
pmcid:PMC3606779
fatcat:spihetdylbfrvc7vli2fhmkjua
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