Speech recognition and understanding
Linguistic Processing Using a Dependency Structure Grammar for Speech Recognition and Understanding
... LINGUISTIC PROCESSING USING A DEPENDENCY STRUCTURE GRAMMAR FOR SPEECH RECOGNITION AND UNDERSTANDING L I N G U I S T I C P R O C E S S I N G U S I N G A D E P E N D E N C Y S T R U C T U R E GRAMMAR FO[.] ...
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Towards Using Prosody in Speech Recognition/Understanding Systems: Differences Between Read and Spontaneous Speech
... TOWARDS USING PROSODY IN SPEECH RECOGNITION/UNDERSTANDING SYSTEMS DIFFERENCES BETWEEN READ AND SPONTANEOUS SPEECH T O W A R D S U S I N G P R O S O D Y IN S P E E C H R E C O G N I T I O N / U N D E R[.] ...
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Collection and Analysis of Data From Real Users: Implications for Speech Recognition/Understanding Systems
... COLLECTION AND ANALYSIS OF DATA FROM REAL USERS IMPLICATIONS FOR SPEECH RECOGNITION/UNDERSTANDING SYSTEMS C O L L E C T I O N A N D A N A L Y S I S OF D A T A F R O M R E A L USERS I M P L I C A T I O[.] ...
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Semantics in speech recognition and understanding: a survey
... for speech present clear limitations in expressing semantic constraints since only local context is taken into account (it is difficult to use a large N due to computational ...
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Visual speech recognition: aligning terminologies for better understanding
... To conclude our mini review of machine lipreading, we summarise that there is a clear differentiation between machine lipreading and speech reading. It is important that future researchers use the correct ...
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S-Pda: A Smart Pda For Agricultural Advancement
... our speech using Speech recognition[6] and processes it by Language Understanding (LU) and identifies the type of the command and provides the result in speech by the help of Text to ...
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Qualitative investigation of the display of speech recognition results for communication with deaf people
... automatic speech transcription system, highlighting in bold the words considered as “correctly recognized” rather than the words considered as “incorrectly recognized” is more ...
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Edit Machines for Robust Multimodal Language Processing
... (speech-only) understanding systems have addressed this issue of lack of robustness of hand-crafted grammars by exploiting classification techniques to extract fillers of a frame ...and understanding ...
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Electromyographic analysis for silent speech detection
... silent speech recognition system, called MUTE (Mouthed-speech Understanding and Transcription Engine), was ...continuous recognition tasks, for practical military communication ...
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A Study of Speech Recognition
... Continues speech, system is able to recognize the word though person is speaking naturally. Really, it's computer dictation. It embraces a great pact of "co articulation", where contiguous words run ...
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Pauses and the temporal structure of speech
... read speech, in that spontaneous speech is much more conducive to pauses of cognitive origin than is read ...hearer’s understanding of how the speaker is structuring the ...automatic speech ...
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Human Emotion Recognition in Speech using Ant Colony Optimization
... A proper choice of feature vectors is one of the most important tasks. The feature vectors can be distinguished into the following four groups: continuous (e.g., energy and pitch), qualitative (e.g., voice quality) ...
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Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired
... and Speech processing is researched in terms of speech production and perception of the sounds which are used in vocal ...air. Speech sounds are analyzed from many points of view namely Articulatory, ...
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Intelligence Agent Device for E Learning
... In todays technological world it is convenient for one to use the technology to manage their tasks. Our project makes user aware of solving a problem like playing a song without using Internet. Also we know there are ...
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Dual supervised learning for non-native speech recognition
... end-to-end speech recognition setup that consisted of one network perform- ing conversion from the acoustic domain to the textual ...labeled speech datasets, without the need to align the text with ...
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Modeling Conversational Speech for Speech Recognition
... First, in conversational speech, where there is a less clear notion o f "sentence" than in written text, does segmenting the text into linguistically or semantically based units contribu[r] ...
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International Journal of Computer Science and Mobile Computing
... keystrokes recognition can be done unobtrusively when the person is keying in ...keystroke recognition include: the cumulative typing speed, the time that elapses between consecutive keystrokes, the time ...
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Hardware-Software Codesign of a Large Vocabulary Continuous Speech Recognition system.
... Modern real-time applications with increasing design complexity have revolutionized the embedded design procedure. Energy budget constraints and shortening time to market have led designers to consider cooperative design ...
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Speech Recognition in Parallel
... SPEECH RECOGNITION IN PARALLEL S P E E C H R E C O G N I T I O N I N P A R A L L E L Salvatore J Stolfo, Zvi Galil, Kathleen McKeown and Russell Mills Columbia University Department of Computer Scienc[.] ...
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A SPEECH RECOGNITION AND SYNTHESIS TOOL
... current speech recognition (speech-to-text) and speech synthesis (text-to-speech) technology into a chat room, thus, providing a solution to communication between the hearing and ...
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