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SCRIPT: Speech Synthesis for Spoken Content Production

SCRIPT: Speech Synthesis for Spoken Content Production
SCRIPT:用于语音内容制作的语音合成
批准号:
EP/P011586/1
负责人:
Simon King
金额:
$67.95万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
The cost of producing dynamically-updated media content - such as online video news packages - across multiple languages is very high. Maintaining substantial teams of journalists per language is expensive and inflexible. Modern media organisations like the BBC or the Financial Times need a more agile approach: they must be able to react quickly to changing world events (e.g., breaking news or emerging markets), dynamically allocating their limited resources in response to external demands. Ideally, they would like to create `pop-up' services & products in previously-unsupported languages, then to scale them up or down later.The government has set the BBC a target of reaching a global audience of 500 million people by 2022, compared with today's 308 million. The only way to reach such a huge audience is through new language services and efficient production techniques. Text-to-speech - which automatically produces speech from text - offers an attractive solution to this challenge, and the BBC have identified computer assisted translation and text-to-speech as key technologies that will provide them with new ways of creating and reversioning their content across many languages.This project's objectives are to push text-to-speech technology towards "broadcast quality" computer-generated speech (i.e., good enough for the BBC to broadcast) in many languages, and to make it cheap and easy to add more languages later. We will do this by combining and extending several distinct pieces of our previous basic research on text-to-speech. We will use the latest data-driven machine learning techniques, and extend them to produce much higher quality output speech. At the same time, we will enable the possibility of human control over the speech. This will allow the user (e.g., a BBC journalist) to adjust the speech to make sure the quality and the speaking style is right for their purposes (e.g., correcting the pronunciation of a difficult word, or putting emphasis in the right place).The technology we will create for the likes of the BBC will also enable smaller companies and other organisations, state bodies, charities, and individuals to rapidly create high-quality spoken content, in whatever language or domain they are operating. We will work with other types of organisation during the project, to make sure that the technology we create has broad appeal and will be useful to a wide range of companies and individuals.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Improving speech synthesis with discourse relations
通过话语关系改进语音合成
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Aubin A]
通讯作者: Aubin A
DOI: 10.21437/interspeech.2017-628
发表时间: 2017-05
期刊:
影响因子: --
作者: [S. Ronanki;O. Watts;Simon King]
通讯作者: S. Ronanki;O. Watts;Simon King
Exemplar-based speech waveform generation for text-to-speech
用于文本转语音的基于示例的语音波形生成
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Cassia Valentini Botinhao]
通讯作者: Cassia Valentini Botinhao
Exemplar-based Speech Waveform Generation
基于范例的语音波形生成
DOI: 10.21437/interspeech.2018-1857
发表时间: 2018
期刊:
影响因子: --
作者: [Watts O]
通讯作者: Watts O
7
    Automatic target cost and database design for unit-selection speech synthesis
    • 批准号:
      EP/E031447/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $35.74万
    • 财政年份:
      2007
    • 负责人:
      Simon King
    • 依托单位:
    Automatically-determined Unit Inventories for Unit Selection Text-to-Speech Synthesis
    • 批准号:
      EP/D058139/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $30.39万
    • 财政年份:
      2006
    • 负责人:
      Simon King
    • 依托单位:
    海外基金