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Open AccessJournal ArticleDOI

Analysis of Factors Influencing Accuracy of Speech Recognition

G. Čeidaitė, +1 more
- 29 Oct 2010 - 
- Vol. 105, Iss: 9, pp 69-72
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TLDR
The analysis of experimental results proved that the biggest influence on recognition accuracy has environments’ in which speech commands’ recognition are used and size set of etalons of speech commands used for training.
Abstract
Factors influencing accuracy of speech recognitions is investigated The main attention was given to environment, training conditions and features The results of the influence of the factors to the accuracy of speech recognition are presented The analysis of experimental results proved that the biggest influence on recognition accuracy has environments’ in which speech commands’ recognition are used and size set of etalons of speech commands used for training

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Citations
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Dissertation

Pronunciation Support for Arabic Learners

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Comparison of Formant Features of Male and Female Emotional Speech in Czech and Slovak

TL;DR: In this article, the first three formant positions together with their 3 dB bandwidths and the formant tilts were determined from the smoothed spectral envelopes or directly calculated from the complex roots of the LPC polynomial.
Journal Article

Evaluation of Features Extraction Algorithms for a Real-Time Isolated Word Recognition System

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Efficient Feature Extraction Algorithms to Develop an Arabic Speech Recognition System

TL;DR: Simulation results showed that PNCC and ModGDF were more accurate than MFCC in Arabic speech recognition, and were deployed to extract audio forms from Arabic speakers.
MonographDOI

An efficient implementation of lattice-ladder multilayer perceptrons in field programmable gate arrays

TL;DR: The aim of the thesis is to optimize the FPGA implementation process of selected class dynamic artificial neural networks and to solve the problem of efficient and straightforward implementation of operating in a real-time electronic intelligent systems on field-programmable gate array (FPGA).
References
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Journal ArticleDOI

Developments and directions in speech recognition and understanding, Part 1 [DSP Education]

TL;DR: The working group producing this article was charged to elicit from the human language technology community a set of well-considered directions or rich areas for future research that could lead to major paradigm shifts in the field of automatic speech recognition (ASR) and understanding.
Proceedings ArticleDOI

Microphone array speech recognition: experiments on overlapping speech in meetings

Darren Moore, +1 more
TL;DR: This paper investigates the use of microphone arrays to acquire and recognise speech in meetings, and proposes an appropriate microphone array geometry and improved processing technique for this scenario, paying particular attention to speaker separation.
Journal ArticleDOI

Updated MINDS report on speech recognition and understanding, Part 2 [DSP Education]

TL;DR: This article is the second part of an updated version of the "MINDS 2006-2007 Report of the Speech Understanding Working Group," one of five reports emanating from two workshops entitled "Meeting of the MINDS: Future Directions for Human Language Technology," sponsored by the U.S. Disruptive Technology Office (DTO).
Proceedings ArticleDOI

Robust speech recognition using near-field superdirective beamforming with post-filtering

TL;DR: The array is shown to have a marked effect on the recognition results in a high noise office environment, particularly where there is a high level of undesired speech.
Proceedings ArticleDOI

Influence of background noise and microphone on the performance of the IBM Tangora speech recognition system

TL;DR: It was found that microphone characteristics had a significant impact on the robustness of the Tangora system, and controlled contamination of the quiet training data with ambient noise improved the noise immunity of the recognizer.
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