speech recognition
Top PDF speech recognition:
Spectro-temporal Gabor features as a front end for automatic speech recognition
... A novel type of feature extraction is introduced to be used as a front end for automatic speech recognition (ASR). Two-dimensional Gabor filter functions are applied to a spectro-temporal representation ...
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Contributions to speech analytics based on speech recognition and topic identification
... the speech recognition technology, then we could adapt the recognition to the context of the speech that is being decoded, enhancing thus the performance of the ...a speech recognizer ...
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Combination of Standard and Complementary Models for Audio-Visual Speech Recognition
... word speech recognition based on the combination of standard Hidden Markov Models (HMMs) and Complementary Gaussian Mixture Models (CG- MMs) are ...in speech recognition systems, each word or ...
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Aids Based on Speech Recognition Technology for People with Motor Disabilities and Reduced Mobility
... to speech recognition, orders with different noise levels are issued, which can originate from the TV, sound equipment or conversations of family members, indoors, or any source of street noise for the case ...
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View of Speech recognition by using cross correlation and a multilayer perceptron | Nova Scientia
... Automatic Speech Recognition (ASR) systems by proposing a way to characterize words based on approximations that use an extracted coefficient from Linear Predictive Coding ...The recognition rate for ...
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DATA REFINING HMM, A NEW APPROACH TO HMM BASED SPEECH RECOGNITION SYSTEM IMPROVEMENT
... based speech recognition systems is limited due to some HMM ...the speech information in addition to consistency with model ...on recognition rate and 30% improvement on recognition ...
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Robust automatic speech recognition employing phoneme dependent multi environment enhanced models based linear normalization Edición Única
... • Estimation of statistics of noisy speech. Here the compensation takes place by making the addition of shift parameters learned using the maximum likelihood, which attempts to maximize the probability of the ...
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Chebyshev polynomials in a speech recognition model.
... Key words and phrases: disrete Chebyshev polynomials, speeh reognition, speakerr. veriation, speeh identiation, speeh sound, speeh ompression.[r] ...
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Robust Automatic Speech Recognition Employing Phoneme-Dependent Multi-Environment Enhanced Models based Linear Normalization-Edición Única
... • Estimation of statistics of noisy speech. Here the compensation takes place by making the addition of shift parameters learned using the maximum likelihood, which attempts to maximize the probability of the ...
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Robust Spoken Language Understanding for House Service Robots
... Automatic Speech Recognition (ASR) module, that provides a list of transcriptions for a given spoken ...the recognition of utterances given to robots in specific ...
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EFFICIENCY OF BINAURAL CUES IN A BILATERAL COCHLEAR IMPLANT LISTENER
... improve speech understanding in noise and to localize sound sources with high accuracy (Blauert, ...superior speech perception in noise and quiet in some individuals and a benefit in a basic directional ...
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Prensa online y tipos de lectores. Respuestas del público y lógicas de reconocimiento en los comentarios a las noticias del diario argentino La Nación
... said speech recognition grammars implies, inevitably, analyzing the enunciation of the reader – meaning carrying out a discourse analysis that devolves to the level of the enunciation, identifying those ...
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Evaluation of a User-Adapted Spoken Language Dialogue System: Measuring the Relevance of the Contextual Information Sources
... automatic speech recognition module (ASR), which translates the audio signal into a text hypothesis of what the user has said; a language understanding module (NLU), that extracts the semantics of the ...
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Frequency-weighting functions for speech in young and older listeners
... correct recognition of natural vowel-consonant-vowel (VCV) stimuli and the signal-to-noise ratio in different frequency ...the speech information present in the fourth frequency band but, conversely, they ...
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Isolated spanish digit recognition based on audio-visual features
... classical speech recognition techniques based on audio features is degraded in noisy ...word speech recognition system based on audio-visual ...the recognition rates through a wide ...
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Embodied conversational agents for voice-biometric interfaces
... speaker recognition, the system performs speech recognition to find out what sequence of numbers the user has ...same recognition scheme and we use the ECA to try to empathize with the user in ...
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TítuloALBAYZIN 2018 spoken term detection evaluation: a multi domain international evaluation in Spanish
... Automatic speech recognition; ATWV: Actual term-weighted value; BNews: Broadcast news; CLI: Command-line interface; CMVN: Cepstral mean and variance normalization; CTS: Conversational telephone ...
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Modelling temporal patterns using soft computing techniques. Application to the analysis of human body movements
... e.g., speech recognition [BAM08], on-line handwriting recognition [HBT96], sign language recognition [JH01], stock market analysis [SWI98] or even gene expression data analysis ...
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Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques
... the speech of patients with OSA for the purpose of learning whether severe OSA may be detected using Auto- matic Speech Recognition techniques ...and speech pathologies in general because of ...
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Identificación del hablante usando clases de fonemas
... L os sistemas automáticos de identificación del hablante (automatic speech recognition ASR), son sistemas utilizados para fines forenses y de seguridad. Un objetivo común entre el desarrollo de ASR son la ...
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