Real Time Speech Based Integrated Development Environment for C Program

Bhagavathsingh, Bharathi; Srinivasan, Kavitha; Natrajan, Mariappan

doi:10.4236/cs.2016.73008

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Users did not have to dictate spaces between words but still had to dictate function open/close and body open/close to indicate parentheses. Several researchers [15][16][17][18][19] have also tried to design a Voice IDE for voice coding. For example, Parthasarathy [15] developed a webbased IDE for python and used the Houndify SDK [20] to generate text from voice.…”

Section: Related Work 61 Plain Voice Codingmentioning

confidence: 99%

VoiceJava: A Syntax-Directed Voice Programming Language for Java

Zan

2023

Electronics

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About 5–10% of software engineers suffer from repetitive strain injury, and it would be better to provide an alternative way to write code instead of using a mouse and keyboard and sitting on a chair the whole day. Coding by voice is an attractive approach, and quite a bit of work has been done in that direction. At the same time, dictating plain Java text with low accuracy through the existing voice recognition engines or providing complex panels controlled by the voice makes the coding process even more complex. We argue that current programming languages are suitable for programming by hand, not by mouth. We try to solve this problem by designing a new programming language, VoiceJava, suitable for dictating. A Java program is constructed in a syntax-directed way through a sequence of VoiceJava commands. As a result, users do not need to dictate spaces, parentheses, and commas, reducing the vocal load.

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Section: Related Work 61 Plain Voice Codingmentioning

confidence: 99%

VoiceJava: A Syntax-Directed Voice Programming Language for Java

Zan

2023

Electronics

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“…The research on the image technology has been carried out in universities, research institutes, and companies, which is increasingly deepened and carried out in a systematic manner. Great attention is paid to the inheritance of knowledge and algorithm reuse [15][16][17][18][19][20][21], the pursuit of high efficiency, and low cost. Therefore, it is necessary to provide an environment with powerful support for the learning, research, and development of the image algorithm.…”

Section: Introductionmentioning

confidence: 99%

Integrated development environment model for visual image processing based on Moore nearest neighbor model

Zhang¹,

Li²,

Li³

et al. 2018

J Image Video Proc.

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With the development of information technology, especially the development of visual image processing technology, more and more automated production links, such as injection molding production, use visualization to realize automatic detection of injection molds, but the traditional integrated environment for visual image processing exists in real time. In order to solve this problem, this paper proposes a visual image processing integrated development environment model based on the Moore nearest neighbor model. The model runs on the visual platform, and the residuals to be detected are highlighted by the Moore nearest neighbor model. In order to solve the error caused by the image shift, the model introduces the support vector machine as the classification method, and the model is used for the simulation experiment. The average accuracy of cavity residual detection in the model is 85.71%, and the average time of residual detection is 0. 910 s. The results show that the model solves the real-time and accuracy problems of the traditional visual image processing model.

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Feature parameters extraction and affective computing of voice message for social media environment

Jiang,

Guo,

Dai

2024

COMSIS J

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Voice message in social media environment includes a large number of conversation natural languages, which increases the difficulty of emotion tagging and affective computing. In order to solve the above difficulties, this paper analyzes the cognitive differences between the semantic and acoustic features of voice message from the perspective of cognitive neuroscience, and presents a voice feature extraction method based on EEG (Electroencephalogram) experiments, and gets the representation of 25 acoustic feature parameter vectors. Meanwhile, we proposed an affective computing method based on PAD (Pleasure-Arousal-Dominance) dimension emotional space according to the above parameters. Experiments show that the method can effectively solve the affective computing problem of voice message. Overall, there are two main contributions of this paper. Firstly, it comprehensively analyzes the emotional cognitive feature of voice message in social media environment from the perspectives of cognitive neural mechanism, voice acoustic feature and text semantics. Secondly, the segmented affective computing method for voice message based on acoustic feature parameters and PAD emotional state model is proposed.

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Real Time Speech Based Integrated Development Environment for C Program

Cited by 3 publications

References 12 publications

VoiceJava: A Syntax-Directed Voice Programming Language for Java

VoiceJava: A Syntax-Directed Voice Programming Language for Java

Integrated development environment model for visual image processing based on Moore nearest neighbor model

Feature parameters extraction and affective computing of voice message for social media environment

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