نتایج جستجو برای: speech recognition equipment
تعداد نتایج: 411456 فیلتر نتایج به سال:
Although, speech recognition systems are widely used and their accuracies are continuously increased, there is a considerable performance gap between their accuracies and human recognition ability. This is partially due to high speaker variations in speech signal. Deep neural networks are among the best tools for acoustic modeling. Recently, using hybrid deep neural network and hidden Markov mo...
Voiceprint Recognition System also known as a Speaker Recognition System (SRS) is the best-known commercialized forms of voice Biometrics. Automated speaker recognition is the computing task of validating a user's claimed identity using characteristics extracted from their voices. In contrast to other biometric technologies which are mostly image based and require expensive proprietary hardware...
Phoneme recognition is one of the fundamental phases of automatic speech recognition. Coarticulation which refers to the integration of sounds, is one of the important obstacles in phoneme recognition. In other words, each phone is influenced and changed by the characteristics of its neighbor phones, and coarticulation is responsible for most of these changes. The idea of modeling the effects o...
The paper presents the simple technique of speaker gender recognition that uses MFCC features typically applied in automatic speech recognition. Artificial neural network is used as a classifier. The speech signal is first divided into 20 ms frames. For each frame, Mel-Frequency Cepstral Coefficients are extracted and the created feature vector is provided into a neural network classifier, whic...
OBJECTIVE Our objective was to describe our experience with a commercially available continuous speech recognition system, highlighting the advantages, disadvantages, and costs compared with those of conventional transcription for MR imaging reports. MATERIALS AND METHODS Data from 5072 reports generated in our MR imaging section during a 9-month period after the implementation of a commercia...
background: according to previous studies, most of the speech recognition disorders in older adults are the results of deficits in audibility and auditory temporal resolution. in this paper, the effect of ageing on timecompressed speech and auditory temporal resolution by word recognition in continuous and interrupted noise was studied. methods: a time-compressed speech test (tcst) was conducte...
Background: According to previous studies, most of the speech recognition disorders in older adults are the results of deficits in audibility and auditory temporal resolution. In this paper, the effect of ageing on timecompressed speech and auditory temporal resolution by word recognition in continuous and interrupted noise was studied. Methods: A time-compressed speech test (TCST) w...
The design for new feature extraction methods out of the speech signal and combination of their obtained information is one of the most effective approaches to improve the performance of automatic speech recognition (ASR) system. Recent researches have been shown that the speech signal contains nonlinear and chaotic properties, but the effects of these properties are not used in the continuous ...
the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...
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