Speech recognition system based on deep learning

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Rina7RS
Posts: 482
Joined: Mon Dec 23, 2024 3:33 am

Speech recognition system based on deep learning

Post by Rina7RS »

This paper outlines a series of key technologies since the 1980s, including multi-layer neural networks, convolutional neural networks, deep belief networks, etc., and proposes a new deep learning method - representation learning. Representation learning refers to automatically learning the most useful and basic features from raw data for subsequent learning and reasoning. This method has been widely used in fields such as computer vision, natural language processing and recommendation systems.

This paper not only comprehensively reviews and analyzes deep learning technology, but also points out the direction for the further development of deep learning technology and promotes the rapid development lithuania mobile database of deep learning technology. The continuous advancement of deep learning technology has also spawned many applications, such as intelligent voice assistants, self-driving cars, image and video processing, financial risk assessment, etc.

Speech recognition technology has always been an important research direction that has attracted much attention in the field of artificial intelligence. Traditional speech recognition systems often require a lot of manual feature engineering and model parameter adjustment, and the accuracy is not high. However, with the continuous development of deep learning technology, speech recognition systems based on deep learning have gradually become a very effective solution.
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