Deep learning methods for speech to text systems

Giannetti, Jacopo (A.A. 2020/2021) Deep learning methods for speech to text systems. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Marco Querini, pp. 46. [Bachelor's Degree Thesis]

PDF (Full text)
Download (2MB) | Preview


Motivation. Methodology. State of the art. Systems. Python libraries. Background. The history of artificial neural networks. Neural networks. Deep learning. Convolutional neural network. Recurrent neural network. Long short-term memory neural networks (LSTM). Regularization. Research. Speech recognition using recurrent neural networks. Speech-to-speech translation using deep learning. Keyword spotting system. Keyword spotting system. Dataset. Creation and training of the CNN. Experiments.


Bibliografia: pp. 43-45. Sitografia: p. 46.

Thesis Type: Bachelor's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair: Artificial intelligence and machine learning
Thesis Supervisor: Querini, Marco
Academic Year: 2020/2021
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 22 Oct 2021 12:32
Last Modified: 22 Oct 2021 12:32


Downloads per month over past year

Repository Staff Only

View Item View Item