The idea of this paper is to design a tool that will be used to test and compare commercial speech recognition systems, such as Microsoft Speech API and Google Speech API, with open-source speech recognition systems such as Sphinx-4. The best way to compare automatic speech recognition systems in different environments is by using some audio recordings that were selected from different sources and calculating the word error rate (WER). Although the WER of the three aforementioned systems were acceptable, it was observed that the Google API is superior
Automatic Speech Recognition (ASR) is an essential task for many applications like automatic caption...
The research presented in this paper is part of an ongoing investigation into how best to incorporat...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the ...
This document compares out-of-box performance of three commercially available speech recognition sof...
Automated speech recognition (ASR) system is a machine speech recognition used for recognizing human...
The use of speech recognition is increasing rapidly and is now available in smart TVs, desktop compu...
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 ...
The goal of this contribution is threefold: (1) to present the results of a comparative evaluation o...
This project is an attempt to quantize the performance of speech recognition engines in order to be ...
Abstract: In this paper we investigate the use of an automatic speech recognizer (Google Speech API)...
Fully autonomous cars are on the horizon. Knightec wants to enable passengers of the future car to b...
Speech recognition is the process of translating an audio signal into text using a computer program....
Speech recognition (also known as automatic speech recognition) converts spoken words to text. It i...
Automatic Speech Recognition (ASR) is an essential task for many applications like automatic caption...
The research presented in this paper is part of an ongoing investigation into how best to incorporat...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
This thesis describes the comparison of two Automatic Speech Recognition (ASR) systems, used in the ...
This document compares out-of-box performance of three commercially available speech recognition sof...
Automated speech recognition (ASR) system is a machine speech recognition used for recognizing human...
The use of speech recognition is increasing rapidly and is now available in smart TVs, desktop compu...
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 ...
The goal of this contribution is threefold: (1) to present the results of a comparative evaluation o...
This project is an attempt to quantize the performance of speech recognition engines in order to be ...
Abstract: In this paper we investigate the use of an automatic speech recognizer (Google Speech API)...
Fully autonomous cars are on the horizon. Knightec wants to enable passengers of the future car to b...
Speech recognition is the process of translating an audio signal into text using a computer program....
Speech recognition (also known as automatic speech recognition) converts spoken words to text. It i...
Automatic Speech Recognition (ASR) is an essential task for many applications like automatic caption...
The research presented in this paper is part of an ongoing investigation into how best to incorporat...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...