[PDF] Top 20 An Auto-Correlation Based Speech Enhancement Algorithm

... a speech enhancement algorithm based on auto-correlation ...lag auto-correlation coefficients, an estimate of power spectrum of clean signal can be obtained from ... See full document

... c-1) based on spectral subtraction weakened most of the music noise, but much of the transient impulse at the nonstationary part of the music noise ...or enhancement were different for the desired ... See full document

... peech enhancement is a challenging problem in speech processing research, which aims at recovering clean speech from noisy ...in speech enhancement, which employ different schemes to ... See full document

... firefly algorithm [3] was proposed by ...firefly algorithm was very similar to the swarm based algorithms such as Particle Swarm Optimization and Artificial Bee Colony ...This algorithm ... See full document

... improving speech quality degraded by additive background noise and dynamic additive noise respectively was carried out by ...audio-visual speech recognition with that of log-spectral minimum mean square ... See full document

... improve speech intelligibility is because they allow amplification distortions in excess of ...clean speech in reality, the experiments of Loizou et ...the speech intelligibility has indeed improved ... See full document

... estimated speech signal after filtering by using Spectral subtraction method, Wiener filtering (TSNR: Two Step Noise Reduction & HRNR: Harmonic Regeneration Noise Reduction ) and Adaptive Kalman filtering ... See full document

... Noise estimation algorithms mainly include voice activ- ity detector (VAD) [16,17] and buffer-based methods [18-20]. While VADs are unreliable at low SNRs, the buffer-based methods are not fast enough to ... See full document

... method enhancement of speech signal using linear prediction ...The algorithm assumes the noise is additive in nature and follows Gaussian ...noisy speech are processed in both the spectral and ... See full document

... distant speech acquisition in multiparty meeting s using multiple cameras and ...of speech recognition using data recorded in a real meeting room for stationary speaker, moving speaker and overlapping ... See full document

... noisy speech, the ...cause speech distortion and make the ...the correlation between noise and clean ...the correlation between noise and speech into the T-F mask could help to improve ... See full document

... cordic based adaptive algorithm has been designed and simulated for digital signal ...and speech enhancement. In this paper a cordic based qrd_rls adaptive (CQR_RLS) algorithm is ... See full document

... backpropogation algorithm. A total of 100 speech samples consisting of 10 utterances for each digit in the Malay Language are used as the test ...clean speech signal to produce corrupted ... See full document

... The generator is designed to be fully convolution layers without fully connected layers in an auto encoder struc- ture, which may well preserve local information to gener- ate high-frequency components [26]. In ... See full document

... DOI: 10.4236/jmp.2017.89093 1550 Journal of Modern Physics Conventionally, the simulation method is used to obtain the sensitive field. We usually obtain sensitive field by auto Maxwell software. By calculating ... See full document

... channel speech enhancement is necessary where the multichannel speech enhancement is not feasible due to space constraints in the intended device and ...the speech source signals makes ... See full document

... ABSTRACT: Speech is a common medium of human interaction. Normally Speech signals are corrupted with noises that reduce the quality and intelligibility of the speech ...make speech signals ... See full document

... (BSS) algorithm and multi-band spectral sub- traction (MBSS) ...noisy speech samples have been taken from NOIZEUS speech corpus ...proposed speech enhancement algo- ...proposed ... See full document

... the speech enhancement algorithms should have less computational ...the speech enhancement algorithm is large, the input data samples overlap at the input port of the speech ... See full document

... Automatic Speech Recognition (ASR) Systems, a new method is proposed to extract features capable of operating at a very low signal-to-noise ratio ...enhance speech quality as the first stage for Mel-cepstra ... See full document