Unit selection speech synthesis for text-to-speech systems
Speech is the means of communication in the vocal form, used to express one’s emotions, thoughts and feelings. Research in the field of speech generation has been ongoing for several decades, and it has evidently made significant progress with the introduction of systems like Siri, Alexa and Google...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/70470 |
| _version_ | 1811693592621613056 |
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| author | Gupta, Vanya |
| author2 | Lin Weisi |
| author_facet | Lin Weisi Gupta, Vanya |
| author_sort | Gupta, Vanya |
| collection | NTU |
| description | Speech is the means of communication in the vocal form, used to express one’s emotions, thoughts and feelings. Research in the field of speech generation has been ongoing for several decades, and it has evidently made significant progress with the introduction of systems like Siri, Alexa and Google Assistant.
With a rise in conversational form of interactions between humans and computers, it becomes crucial to make the speech technology as realistic, reliable and intelligent to be useful to the masses. Several techniques have been developed and explored, which has helped incorporate these systems into our everyday lives like automated responses on the telephones, announcements on the train or metro station or as an aid to those who are visually blind or those who have lost their ability to speak. Despite the complexities and the challenges involved, it comes as no surprise that this field has received a lot of attention and resources during the last few decades, with the main goal of creating systems that mimic human understanding of speech.
This report focuses on the concatenative synthesis approach to build the text-to-speech system, while maintaining speech intelligibility and quality at appropriate levels. |
| first_indexed | 2024-10-01T06:54:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70470 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:54:08Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/704702023-03-03T20:28:08Z Unit selection speech synthesis for text-to-speech systems Gupta, Vanya Lin Weisi School of Computer Science and Engineering A*STAR Institute for Infocomm Research (I2R) Huang Dong-Yan DRNTU::Engineering::Computer science and engineering Speech is the means of communication in the vocal form, used to express one’s emotions, thoughts and feelings. Research in the field of speech generation has been ongoing for several decades, and it has evidently made significant progress with the introduction of systems like Siri, Alexa and Google Assistant. With a rise in conversational form of interactions between humans and computers, it becomes crucial to make the speech technology as realistic, reliable and intelligent to be useful to the masses. Several techniques have been developed and explored, which has helped incorporate these systems into our everyday lives like automated responses on the telephones, announcements on the train or metro station or as an aid to those who are visually blind or those who have lost their ability to speak. Despite the complexities and the challenges involved, it comes as no surprise that this field has received a lot of attention and resources during the last few decades, with the main goal of creating systems that mimic human understanding of speech. This report focuses on the concatenative synthesis approach to build the text-to-speech system, while maintaining speech intelligibility and quality at appropriate levels. Bachelor of Engineering (Computer Science) 2017-04-25T01:06:18Z 2017-04-25T01:06:18Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70470 en Nanyang Technological University 44 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Gupta, Vanya Unit selection speech synthesis for text-to-speech systems |
| title | Unit selection speech synthesis for text-to-speech systems |
| title_full | Unit selection speech synthesis for text-to-speech systems |
| title_fullStr | Unit selection speech synthesis for text-to-speech systems |
| title_full_unstemmed | Unit selection speech synthesis for text-to-speech systems |
| title_short | Unit selection speech synthesis for text-to-speech systems |
| title_sort | unit selection speech synthesis for text to speech systems |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/70470 |
| work_keys_str_mv | AT guptavanya unitselectionspeechsynthesisfortexttospeechsystems |