Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.13891 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909082782269440 |
|---|---|
| author | s, Harini M, Manoj G |
| author_facet | s, Harini M, Manoj G |
| contents | Text-to-speech (TTS) synthesis is a technology that converts written text into spoken words, enabling a natural and accessible means of communication. This abstract explores the key aspects of TTS synthesis, encompassing its underlying technologies, applications, and implications for various sectors. The technology utilizes advanced algorithms and linguistic models to convert textual information into life like speech, allowing for enhanced user experiences in diverse contexts such as accessibility tools, navigation systems, and virtual assistants. The abstract delves into the challenges and advancements in TTS synthesis, including considerations for naturalness, multilingual support, and emotional expression in synthesized speech. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_13891 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Text to speech synthesis s, Harini M, Manoj G Software Engineering Text-to-speech (TTS) synthesis is a technology that converts written text into spoken words, enabling a natural and accessible means of communication. This abstract explores the key aspects of TTS synthesis, encompassing its underlying technologies, applications, and implications for various sectors. The technology utilizes advanced algorithms and linguistic models to convert textual information into life like speech, allowing for enhanced user experiences in diverse contexts such as accessibility tools, navigation systems, and virtual assistants. The abstract delves into the challenges and advancements in TTS synthesis, including considerations for naturalness, multilingual support, and emotional expression in synthesized speech. |
| title | Text to speech synthesis |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2401.13891 |