Примеры использования Speech signal на Английском языке и их переводы на Русский язык
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Article is dedicated to speech signals analysis.
The parameters of speech signal, which reflect the truth of the transmitted information, are investigated.
Dialects recognition, acoustic model, speech signal, UBM-GMM model.
High efficiency of the speech signal compression done with the help of modern codecs is mainly resulting from three methods.
On empirical wavelet transform, which is tested on speech signals with different noise levels.
The problem of dialect identification is the recognition of the regional dialect of the speaker within a given language based on the speech signal.
Annotation: The problem of speech signal quality is stated.
The only way to overcome this is the models that are constantly adapting to the speech signal changes.
Hence, there will be chords in the speech signal that occur frequently, and chords which are quite rare.
The accuracy and stability of the modified method of segmentation of the speech signal are evaluated.
The modified method for the segmentation of the speech signal is compared with the standard methods of segmentation.
Initially, noisy IMFs are obtained,which are subjected to filtration to clean speech signal from the noise.
First, the Fourier spectrum of the speech signal is determined by the interval ,0, and then, it is divided into different segments N.
The clarity and intelligibility of Intercom communication does not only depend on the quality of the speech signal being transmitted.
Their performance on polyphonic music modeling and speech signal modeling was found to be similar to that of long short-term memory.
Given all abovementioned,this paper proposes a new approach for the extraction of speech signal features based on EWT.
Research and development of methods for speech signal processing for formant characteristics of the spectral slices(in Russian)// MPEI Vestnik.
Algorithms and software for expert work support, in accordance with the standard of the speech signal quality estimation, are described.
Annotation: The model of a speech signal is considered at an assessment of security of speech information by leaking from technical channels.
It must be observed that all the abovementioned ideas are based on the existence of some a priori knowledge about such kind of data as the speech signal.
The output filter is convoluted with the original speech signal to produce the Intrinsic Mode Functions IMF.
Uncompressed speech x 0,159 V To prevent harmful noise levels in the earphones, never exceed these values speech signal mean level.
Annotation: The applicability of the parameters for the speech signal analysis to extract voiced segments, and to distinguish phonemes was investigated.
Pavlov, including the idea of significant qualitative difference between human higher nervous activity and human behaviour and those of animals,due to the presence of the second signal system as a"grand speech signal" in humans.
Capturing voices in both ears Our unique Binaural VoiceStream Technology detects the speech signal and ensures that you can hear it clearly in both ears.
Fig.5 The initial speech signal(highlighted in green), the yellow signal at the top shows the signal after the synthesizer- the distortions of the envelope are clearly visible.
Annotation: This article describes a modified method of segmentation of the speech signal into disjoint voiced segments by the continuous wavelet transform.
A new approach to extracting speech signal features based on empirical wavelet transform Accordingly, EWT and an inverse transform are applied for signal analysis.
Directing the spectrogram data to the synthesizer unit with the appropriate deemphasis of the amplitude frequency response,we will be able to verify that the speech signal(with the exception of the phase-frequency relationship) is restored, and the required intelligibility is completely ensured.
Following this logic,it can be suggested that the a priori knowledge that the speech signal is a container enclosing linguistic data can just as well be used to significantly improve the efficiency of both lossy and lossless compression technologies by including in the data source model the regularities appertaining to the linguistic component of the speech signal. .