Speech applications
Efficient Algorithm and Architecture of Critical-Band Transform for Low-Power Speech Applications
... some speech applications, the pitch is ignor- able and the higher frequency information is less significant ...of speech. It may work effectively and well in speech recognition [3, ...
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Reusing Language Resources for Speech Applications involving Emotion
... for speech applications involving emotion, namely an emotional Text-to-Speech system or a Speech-to-Emotion system which requires emotional speech recognition and consequent text to ...
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Detection-Guided Fast Affine Projection Channel Estimator for Speech Applications
... estimation applications, such as acous- tic echo cancellation within teleconferencing systems, the in- put signal is speech or highly ...such applications, the standard NLMS channel estimator su ff ...
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Age and Gender Recognition for Speech Applications based on Support Vector Machines
... for speech applications is very important for a number of ...to speech recognition ...ex., speech recognition, computer vision, finance, banking, robotics ...world applications. To ...
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Semi-supervised learning for acoustic and prosodic modeling in speech applications
... With self-training methods, an initial acoustic model set is determined by a limited amount of manually transcribed data, and the model is used to transcribe a relatively large amount of unlabeled data. Auto- matic ...
133
Enabling Speech Applications using Ad Hoc Microphone Arrays
... Non-linear measurement models are frequently encountered in applications like source localization and tracking. The error covariance matrix for non-linear models is not always available in closed form, and it ...
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Real-time audio signal enhancement for hands-free speech applications
... The main difference between the ASR results for the unpro- cessed and the processed signals can be seen in scenario 1. The radio is a non-stationary noise source and even worse the radio signal is a news broadcast, which ...
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Unsupervised Speech Signal to Symbol Transformation for Zero Resource Speech Applications
... continuous speech signal is divided into varying-length ...the speech specific information, and also exhibit better speaker ...continuous speech signal into phoneme-like units is presented in Section ...
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REGULUS: A Generic Multilingual Open Source Platform for Grammar-Based Speech Applications
... domain-specific speech recognisers from general linguistically motivated unification ...medical speech translation application and a corpus of 801 recorded domain utterances, designed to investigate the ...
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Applications of Surface Correlation to the Estimation of the Harmonic Fundamental of Speech
... phase of the delayed signal [6]. This method cannot be ap- plied to multi-component signals, since the IF so computed does not necessarily represent the frequency of any of the signal components [9, 10]. In addition, in ...
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A Retrospective Assessment of Fuzzy Logic Applications in Voice Communications and Speech Analytics
... and speech in communications? As fuzzy logic (FL) was specifically conceived to model the human language and logic vagueness, one could expect that it played a central part in improving voice communications and ...
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A Multi-sensor Speech Database with Applications towards Robust Speech Processing in hostile Environments
... As a means for investigating this, a database was recorded containing the signals of some special contact microphones together with the signals of some regular air microphones. This database can be used as a tool to ...
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Speech Coding Methods, Standards, and Applications. Jerry D. Gibson
... The most familiar network for conversational voice communications is the PSTN, which consists of a wired, time division multiplexed (TDM), circuit-switched backbone network with (often) copper wire pair local loops [14]. ...
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Efficient Hardware/Software Implementation of LPC Algorithm in Speech Coding Applications
... The whole design flow, except the simulation execu- tion, is covered by Xilinx EDK and ISE software pack- ages. The Adding a Processor System to and FPGA De- sign module introduces the two design flows of a hard- ware ...
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Applications of Automatic Evaluation Methods to Measuring a Capability of Speech Translation System
... The system's TOEIC score using the DP-based method was 708 and that using BLEU was 712, while the original trans- lation paired comparison method gave a score around of 705... To confirm[r] ...
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Kannada Speech Recognition Using MFCC and KNN Classifier for Banking Applications
... Kannada speech recognition consisting of eighteen words. Segmentation of speech into word is accomplished using energy, magnitude and ...time speech recognition products, where input will never be an ...
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Unsupervised speech processing with applications to query-by-example spoken term detection
... The work discussed in this thesis is motivated by the challenge of searching and extracting useful information from speech data in a completely unsupervised setting[r] ...
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Aligning text and phonemes for speech technology applications using an EM like algorithm
... Abercrombie, D. (1981). Extending the Roman alphabet: Some or- 733 thographic experiments of the past four centuries. In R.E. Asher 734 and E. Henderson (Eds.), Towards a History of Phonetics. Edin- 735 burgh, UK: ...
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TexAFon 2.0: A text processing tool for the generation of expressive speech in TTS applications
... coincident, speech act labels (only 911 and 976 messages, respectively, of these corpora are labeled with one of the speech act labels appearing at the training ...with speech act labels appearing in ...
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Asynchronous telemedicine applications in rehabilitation of acquired speech-language disorders in neurologic patients
... automatic speech recognition used in VTEs for aphasic patients, there remain some challenges to be ...automatic speech recognition, the recognition of content units, which can vary both in length and ...
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