Literature review voice recognition

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At present, voice biometrics are commonly used for identification and authentication of users through their voice. Voice based services such as mobile banking, access to personal devices, and logging into social networks are the common examples of authenticating users through voice biometrics. Therefore, the chance to use these services with false identity is always high. It is essential to design a voice-based recognition system to minimize the risk of false identity. In this paper, we developed regional voice datasets for voice biometrics, by collecting voice data in different local accents of Pakistan.
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Speech Emotion Recognition (SER) through Machine Learning

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(PDF) A Review on Home Automation Using Voice Recognition | IRJET Journal - creer-site.info

Speech Recognition: A Review of Literature. Abstract Speech recognition is a process of identifying what a person speaks into a mike or any other similar hardware and reflects its meaning in any required form such as text, image or any event. The developed system works for Punjabi as well as English digits recognition. Signal Processing and Speech Communication Laboratory. Athawale, and G. Speech recognition using vector quantization. Shen, and L.
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A Brief History of Voice Recognition Technology

Natural language processing NLP is an area of active research in artificial intelligence concerned with human languages. Natural language processing programs use human written text or human speech as data for analysis. The goals of natural language processing programs can vary from generating insights from texts or recorded speech to generating text or speech.
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In the real world, human speech recognition nearly always involves listening in background noise. The impact of such noise on speech signals and on intelligibility performance increases with the separation of the listener from the speaker. The present behavioral experiment provides an overview of the effects of such acoustic disturbances on speech perception in conditions approaching ecologically valid contexts. We analysed the intelligibility loss in spoken word lists with increasing listener-to-speaker distance in a typical low-level natural background noise. The noise was combined with the simple spherical amplitude attenuation due to distance, basically changing the signal-to-noise ratio SNR.

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