Add to ORKGThis document compares out-of-box performance of three commercially available speech recognition software: Vocapia VoxSigma TM , Google Cloud Speech, and Lime- craft Transcriber. It is defined a set of evaluation criteria and test methods for speech recognition softwares. The evaluation of these softwares in noisy environments are also included for the testing purposes. Recognition accuracy was compared using noisy environments and languages. Testing in ”ideal” non-noisy environment of a quiet room has been also performed for comparison
The development of large-scale automatic classroom dialog analysis systems requires accurate speech-...
Brazilian Portuguese speech test material consisting of nine monosyllabic 25-word lists was develope...
This report serves to provide insights into the details and knowledge of the speech recognition s...
The idea of this paper is to design a tool that will be used to test and compare commercial speech r...
To evaluate libraries for continuous speech recognition, a test based on TED-talk videos was created...
Speech recognition has gained much attention from researchers for almost last two decades. Isolated ...
National audienceThis study presents a large scale benchmarking on cloudbased Speech-To-Text systems...
The use of speech recognition on mobile devices has been possible with the development of cloud syst...
Speech recognition is the process of translating an audio signal into text using a computer program....
Speech is the most natural way of communication for human being, thus, techniques to communicate wit...
This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the ...
Recently, speech recognition performance has been drastically improved by statistical methods and hu...
The use of speech recognition is increasing rapidly and is now available in smart TVs, desktop compu...
As the automatic speech recognition technology is becoming more advanced, the possibilities of in wh...
This project is an attempt to quantize the performance of speech recognition engines in order to be ...
The development of large-scale automatic classroom dialog analysis systems requires accurate speech-...
Brazilian Portuguese speech test material consisting of nine monosyllabic 25-word lists was develope...
This report serves to provide insights into the details and knowledge of the speech recognition s...
The idea of this paper is to design a tool that will be used to test and compare commercial speech r...
To evaluate libraries for continuous speech recognition, a test based on TED-talk videos was created...
Speech recognition has gained much attention from researchers for almost last two decades. Isolated ...
National audienceThis study presents a large scale benchmarking on cloudbased Speech-To-Text systems...
The use of speech recognition on mobile devices has been possible with the development of cloud syst...
Speech recognition is the process of translating an audio signal into text using a computer program....
Speech is the most natural way of communication for human being, thus, techniques to communicate wit...
This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the ...
Recently, speech recognition performance has been drastically improved by statistical methods and hu...
The use of speech recognition is increasing rapidly and is now available in smart TVs, desktop compu...
As the automatic speech recognition technology is becoming more advanced, the possibilities of in wh...
This project is an attempt to quantize the performance of speech recognition engines in order to be ...
The development of large-scale automatic classroom dialog analysis systems requires accurate speech-...
Brazilian Portuguese speech test material consisting of nine monosyllabic 25-word lists was develope...
This report serves to provide insights into the details and knowledge of the speech recognition s...