An Insightful Analysis of Digital Forensics Effects on Networks and Multimedia Applications

Rajeev, Aishwarya; Raviraj, P.

doi:10.1007/s42979-022-01599-8

Cited by 5 publications

(1 citation statement)

References 12 publications

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“…Voice processing is also an important part in video editing, and plays an important role in video text translation [9] and game design [10]. The audio from the video and then translate the speech voice to text for further multimedia processing [11], which is considered as a significant application in voice recognition. And the research of the paper is focused on how to improve the accuracy of speech recognition from the audio that was extracted from the video, by presenting an algorithm on the post-processing of voice recognition.…”

Section: B Voice In Multimedia Editingmentioning

confidence: 99%

ecVoice: Audio Text Extraction Optimization of Video Based on Idioms Similarity Replacement

Lin

2023

2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

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The Text Extraction of the Audio from the Video plays an important role in multimedia editing and processing.As a popular open source toolkit, Whisper performs fast in human voice recognition. However, the recognition performance is dependent on the computing resource, which makes the low computing memory running Whisper become difficult. Our paper presents an available solution to extract the human voice from the video and gain the high quality text generation from the voice. The generated voice can be used in video language translation and translated voice simulation. To improve the extraction and transform quality of human voice, we present ecVoice, a method using the idioms similarity computation and analysis to improve the quality of audio text extraction. Relative experiments are held to verify that the ecVoice can improve the idiom grammar correction rate to 90% on average. The method is simple but fast which means this method will cause less bad influence of consuming computing resources when improving the voice recognition rate. Our method and solution can significantly enhance the Whisper recognition with low computing memory.

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Section: B Voice In Multimedia Editingmentioning

confidence: 99%