Search Results - ((speech processing) OR (_ processing))
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Development of an intelligent agent for speech recognition and translation
Published 2006“…By using mobile agent technology, speech recognition server can perform their task as parallel processing. …”
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English Speech Synthesizer with Speech Error Processing Features: Elision and Assimilation
Published 2005“…Speech synthesis is one of the in Natural Language Processing (NLP). …”
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Final Year Project -
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Speech Recognizing Comparisons Between Web Speech API and FPT.AI API
Published 2022“…In order to assist people in choosing a suitable Vietnamese speech recognition service, in this paper, the speech recognizing accuracy and processing time between Web Speech API and FPT.AI API has been compared. 307 audio files containing Vietnamese speeches which are obtained from FPT Open Speech Dataset were chosen to test the accuracy and the processing time of both APIs. …”
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Role of beamforming techniques in the future for IoT, artificial intelligence, and real time processing
Published 2024“…Speech recognition from a distance, also known as far-field automatic speech recognition, uses machine learning for processing. …”
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Conference or Workshop Item -
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Classification of vowel sounds using MFCC and feed forward neural network
Published 2010Subjects: “…Digital signal processing…”
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Working Paper -
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Noise enhancement method for speech signal processing / Muhamad Arif Hashim and Roshidi Din
Published 2004“…The relationship between noise and speech signal will be discuss including chronology of speech signal processing and types of noise that appears. …”
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Speech processing in Java-based PC speech commanding application
Published 2007“…The system will perform the recognition process by matching the parameter set of the input speech with the stored templates. …”
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Conference or Workshop Item -
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Voice to Sign Language Translator System
Published 2007“…Speech processing which includes Speech Recognition is the study of recognizing the words being spoken, regardless of whom the speaker is. …”
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Final Year Project -
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Developing a model of speech recognition process from an autopoietic approach
Published 2000“…Therefore, the direction of research in this paper is aimed at the improvement of current techniques rather than reinventing the wheel; particularly, autopoiesis is introduced in this paper to give a flair of self-organization to the cognitive process of speech recognition. It is hoped that this paper would provide complimentary alternatives to speech recognition rather than exclusive solutions it.…”
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Conference or Workshop Item -
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Intelligent dashboard with speech enhancement
Published 1997“…The compressed speech uses the LPC algorithm in the VOCODER and these worsen the speech clarity and could be disastrous, where speech could be totally unrecognisable. …”
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Proceeding Paper -
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Malay speech recognition to determine emotion using fuzzy logic / Siti Nazirah Abd Rahim
Published 2013“…To ensure the ability of this project, the testing process will be conducted using 50 samples of recorded speech. …”
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Thesis -
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JTAGGER
Published 2006“…Part-of-speech tagging is an important step in natural language processing. …”
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Final Year Project -
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Variance based time-frequency mask estimation for unsupervised speech enhancement
Published 2019“…In the first stage, the less aggressive Wiener gain with modified a priori signal-to-noise (SNR) estimate is applied to the input noisy speech to obtain a reduced noise pre-processed speech signal. …”
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Article -
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Speech processing of Malay Velar words using PSD
Published 2009Subjects: Get full text
Working Paper -
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SMaTTS: standard malay text to speech system
Published 2007“…The second phase is the Digital Signal Processing (DSP) which operated on the low-level process of the speech waveform generation. …”
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Robust speech enhancement using amplitude spectral estimator
Published 2000“…A generalized transform approach was introduced and experimental results show great potential when using the DCT as alternatives to the traditional Fourier transform approach to derive the amplitude spectral estimates of the corrupted speech signals and the noise process.…”
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Proceeding Paper -
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Speech Signal Endpoint Detection Using Hidden Markov Models
Published 2006“…Separation of speech and silence segments in automatic speech recognition algorithms occupies a fundamental position. …”
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