Speech recognition embedded systems
Rethinking Speech Recognition on Mobile Devices
... on speech applications in developing regions, such as those for information access [8, 13] or those information management [9] have explored the use of ASR under three different models: embedded ...
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A Review On Different Feature Recognition Techniques For Speech Process In Automatic Speech Recognition.
... of speech recognition has extensively ...progress, speech recognition has turn out to be gradually more embedded in our on a daily basis lives with voice-motivated ...these ...
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Compact Acoustic Models for Embedded Speech Recognition
... ASR systems rely on Gaussian or state sharing, where parameter tying reduces computational time and the memory footprint, whilst providing an efficient way of estimating large context- dependent models ...
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Assessing and Improving the Performance of Speech Recognition for Incremental Systems
... first processing module, thus the module’s incre- mentality determines the level of incrementality that can be reached by the system as a whole. Using an ASR system incrementally poses interesting chal- lenges, however. ...
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Hmm dnn speech recognition techniques: a review
... feature which designates the probability of the acoustic feature is generated by a HMM state. Finally HMM decoding phase uses these scores. DNN takes as input a window of frames of real-valued acoustic coefficients. The ...
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Spontaneous Speech Effects In Large Vocabulary Speech Recognition Applications
... Spontaneous Speech Effects In Large Vocabulary Speech Recognition Applications Spontaneous Speech Effects In Large Vocabulary Speech Recognition Applications John Butzberger, Hy Murveit, Elizabeth Shr[.] ...
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Unsupervised Method for Improving Arabic Speech Recognition Systems
... We have proposed a method to correct badly recognized words by any Arabic speech recognition system. Our method shows a good performance in the correction task. Furthermore, it shows an admirable ...
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Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?
... When the use of Speech Viewer was restricted to the improvement of prosodic features of speech for children with hearing impairments, better results were produced. Öster conducted a study with two deaf ...
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Review of Algorithms and Applications in Speech Recognition System
... about speech processing and it has been used with success in low level NLP processes such as phrase chunking, extracting necessary information from documents and part-of-speech ...
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ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS: KNOWLEDGE-BASED SYSTEMS
... Expert systems, natural language processing, robotics, speech understanding, speech (voice) recogni- tion, computer vision and scene recognition, intelligent computer-aided instruction, neural ...
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Future Directions in Technological Support for Language Documentation
... In general, to support the development of language technologies like the ones we described earlier, it is critical that software engineers are aware of, and have access to data sets reflecting the diversity of endangered ...
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Alternative Speech Communication System for Persons with Severe Speech Disorders
... the Speech Quality (PESQ) Measure. To measure the speech quality, one of the reliable methods is the Perceptual Evaluation of Speech Quality ...for speech quality ...reference speech ...
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Face Recognition based Wireless Attendance Monitoring with Embedded Systems
... Abstract: Students group action within the room is incredibly necessary task and if taken manually wastes plenty of your time. There are several automatic strategies out there for this purpose i.e, biometric group ...
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Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language
... In the preceding section, the feature vectors of each speaker were calculated separately and individually. During training system to find centroid of each cluster we face the problem of non-equal speech wave time ...
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Preprocessing Technique in Automatic Speech Recognition for Human Computer Interaction: An Overview
... in speech recognition ...the speech signal into voiced or unvoiced, speech segments and non-speech ...of speech utterance are pre-utterance, post-utterance and between words ...
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Programming Embedded Systems using C - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... Overall, the state-of-the art technology used in desktop processors matches the needs of the PC user very well: however, their key features – an ability to execute industry-standard code at a rate of more than 1000 ...
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Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
... ASR and ST losses, where (ˆ y, ˆ z) and (y, z) denote the predictions and the ground-truths for (ASR, ST), respectively. The weight α is set to 0.3 in all experiments. Here we favor the ST task based on the intuition ...
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Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer
... automatic speech evaluation that has previously been proven to be adequate for “normal” speech samples ...automatic speech evaluations were compared to a control group of 40 speakers without ...
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Review of Automatic Speech Recognition For Recognition of Speech and Speaker
... ABSTRACT: Speech is fundamental mode of communication among the human ...called speech. Due to his different characteristics speech becomes important attribute in aural ...speaker recognition. ...
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Study of Speech Recognition Technology and its significance in Human-Machine Interface
... is Speech Recognition? Its answer is- Speech Recognition is the inter-disciplinary sub-field of computational linguistics that develops methods and technologies that enables recognition ...
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