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AnadaptiveKalmanfilterfortheenhancementofspeechsig
- This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in w
RobustadaptiveKalmanfilteringbasedspeechenhancemen
- This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autore
EMD-based-method
- 基于EMD法的语音信号特征提取 相关论文-EMD-based method of speech signal feature extraction related papers
ARAC
- 语音识别中的语音信号特征提取和选择是关系到语音识别模型性能的一个重要问题。音信号的特征提取是解决时域信号的数字表问题，特征选择则是在多个特征中选择有的特征为后继的模式划分部分提供数据。-Speech recognition in speech signal feature extraction and selection in relation to the performance of speech recognition model of an important issue. Audio
getPDF
- this document is an good publication for wave glottal estimation of speech signal
08-NTAV-SPA_165_Marciniak-Rochowniak-etal
- In this paper we propose a method for voice activity detection (VAD) in a speech signal recorded in the presence of noise. The so-called endpoint detection (EPD), i.e., detection of voice activity (speech) boundaries is very difficult if the
Speech-signal-
- 语音的发生机理及语音信号产生的数学模型研究-The mathematical model study the mechanism of the voice and speech signal generated
USAGE-OF-TD-PSOLA-ALGORITHM-IN-SLOVAK-SPEECH
- Speech synthesis the process of generating acoustical signal, represented by a sequence of vowels, with particular factual and grammatical meaning. One of the possibilities for speech synthesis is concatenate synthesis, in which prepared partitions o
Wiener-Filtering-for-Speech-Enhancement-in-Modula
- Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speech signals e ective and useful, they need to be enhanced from the noisy speech signal. In s
mb_ftracker
- Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementati
4413sipij08_2
- FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of usin
04721349
- Speech Based Watermarking for Digital Images This paper presents a novel scheme of watermarking of digital images for copyright protection and authentication. In this paper we proposed a method of embedding owner’s speech signal. Speech being
noise_signal
- speech enhancement for noisy signal
LPCC
- This matlab program will give LPCC value for a speech signal.
control-analog-image-signal
- 有关于基于语音识别技术来控制模拟图像信号-Based speech recognition technology to control analog image signal