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http://hdl.handle.net/10609/81437
Title: | Implementation of a spoken language system |
Author: | Perez Guijarro, Jessica |
Tutor: | Isern, David |
Others: | Universitat Oberta de Catalunya Ventura, Carles |
Abstract: | This project consists of a implementation of a Spoken Language System that is part of the dialogue systems like Siri. The system is constituted by two independent blocks: Automatic Speech Recognition, in charge of identifying who is verbalizing the user and transforming a text, and the Spoken Language System, in charge of reading the text, identifying the significant parts of said text. Each of the compo- nents has been trained with different techniques and datasets since it does not share a common goal. In particular, for the development of the ASR module we have worked with a previously selected subset of the VoxForge English dataset, whose data has been trained using Hidden Markov Models for gener- ate the Acoustic Model. On the other hand, for the development of the SLU module we have worked with Recurrent Neural Networks and a variant of the ATIS dataset previously trained with the Word Embedding method. Although the precision obtained in all the components is more than acceptable, the performance of the integration of both components results unstable. |
Keywords: | automatic speech recognition spoken language understanding recurrent neural network |
Document type: | info:eu-repo/semantics/bachelorThesis |
Issue Date: | 5-Jun-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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TFG Presentacio¿n.mov | 576,73 MB | Video Quicktime | View/Open | |
jperezguijaTFG0618memoria.pdf | Memòria del TFG | 913,56 kB | Adobe PDF | View/Open |
jperezguijaTFG0618presentación.pdf | Presentación del TFG | 462,72 kB | Adobe PDF | View/Open |
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