“第二十七章 语音合成”版本间的差异

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(以“==教学资料== *教学参考 *[http://aigraph.cslt.org/courses/27/course-27.pptx 课件] *小清爱提问:机器如何实现听音辨人?[h...”为内容创建页面)
 
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*[[教学参考-27|教学参考]]
 
*[[教学参考-27|教学参考]]
 
*[http://aigraph.cslt.org/courses/27/course-27.pptx 课件]
 
*[http://aigraph.cslt.org/courses/27/course-27.pptx 课件]
*小清爱提问:机器如何实现听音辨人?[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247485682&idx=1&sn=72eeae525de825213a82c944f8c62eb4&chksm=c3080230f47f8b265bc5692059c50cdefe73c5303c022b7cc79707d5ce8cbd6488d0a098a47f&scene=178#rd]
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*小清爱提问:甜美的导航声音是如何产生的? [https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486095&idx=1&sn=e77d712f5810f95c3f02689aea45bf69&chksm=c308004df47f895b2ad764b0c297031f5f1c917cfbedd2c08a8c796823f758fbbe2f3b5ab120&scene=178#rd]
  
 
==扩展阅读==
 
==扩展阅读==
  
* AI100问:机器如何实现听音辨人? [http://aigraph.cslt.org/]
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* AI100问:甜美的导航声音是如何产生的?  [http://aigraph.cslt.org/ai100/AI-100-63-甜美的导航声音是如何产生的.pdf]
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* 维基百科:语音合成 [http://aigraph.cslt.org/courses/27/Speech_synthesis.pdf][http://aigraph.cslt.org/courses/27/语音合成.pdf]
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* 维基百科:声码器 [http://aigraph.cslt.org/courses/27/聲碼器.pdf][http://aigraph.cslt.org/courses/27/Vocoder.pdf]
  
 
==视频展示==
 
==视频展示==
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* Vocoder 1939 (long) [http://aigraph.cslt.org/courses/27/vocoder-1939.mp4]
 
* Vocoder 1939 (long) [http://aigraph.cslt.org/courses/27/vocoder-1939.mp4]
 
* Vocoder 1939 (short) [http://aigraph.cslt.org/courses/27/vocoder-short.mp4]
 
* Vocoder 1939 (short) [http://aigraph.cslt.org/courses/27/vocoder-short.mp4]
 
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* Vocal folder [http://aigraph.cslt.org/courses/27/vocalfolder.mp4]
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* Vocal tract [http://aigraph.cslt.org/courses/27/vocaltract.mp4]
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* Auditory perception [http://aigraph.cslt.org/courses/27/hearing.mp4]
  
 
==演示链接==
 
==演示链接==
  
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* Tacotron2 [https://google.github.io/tacotron/publications/tacotron2/]
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* CycleFlow 语音转换 [http://cycleflow.cslt.org]
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* Online demo for TTS and Voice conversion [https://candyvoice.com/demos/voice-conversion?lang=en]
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* Online TTS demo [https://eeejay.github.io/webspeechdemos/]
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* IBM TTS demo [https://www.ibm.com/demos/live/tts-demo/self-service]
  
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==开发者资源==
  
==开发者资源==
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* CodePen Web demo for TTS [https://codepen.io/matt-west/pen/wGzuJ]
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* Simple HTML code [https://embed.plnkr.co/WjmlDnxcXX5dqlQI/]
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* NVIDIA Tacotron2 [https://github.com/NVIDIA/tacotron2]
  
  
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* 汤志远,李蓝天,王东,石颖,蔡云麒,郑方,《语音识别基本法》,清华大学出牌社,2021. [https://item.jd.com/13143784.html]
 
* 汤志远,李蓝天,王东,石颖,蔡云麒,郑方,《语音识别基本法》,清华大学出牌社,2021. [https://item.jd.com/13143784.html]
 +
* Dudley H. The vocoder—Electrical re-creation of speech[J]. Journal of the Society of Motion Picture Engineers, 1940, 34(3): 272-278. [https://ieeexplore.ieee.org/abstract/document/7250932]
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* Dudley H. Remaking speech[J]. The Journal of the Acoustical Society of America, 1939, 11(2): 169-177.[https://asa.scitation.org/doi/pdf/10.1121/1.1916020]
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* Dudley, Homer (October 1940). "The Carrier Nature of Speech". Bell System Technical Journal. XIX (4). [https://onlinelibrary.wiley.com/doi/epdf/10.1002/j.1538-7305.1940.tb00843.x]
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* Ning Y, He S, Wu Z, et al. A review of deep learning based speech synthesis[J]. Applied Sciences, 2019, 9(19): 4050. [https://www.mdpi.com/2076-3417/9/19/4050/pdf][https://ieeexplore.ieee.org/abstract/document/6768033/]
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* Zen H, Tokuda K, Black A W. Statistical parametric speech synthesis[J]. speech communication, 2009, 51(11): 1039-1064. [https://www.sciencedirect.com/science/article/abs/pii/S0167639309000648]

2023年8月13日 (日) 02:14的最后版本

教学资料

扩展阅读

  • AI100问:甜美的导航声音是如何产生的? [2]
  • 维基百科:语音合成 [3][4]
  • 维基百科:声码器 [5][6]

视频展示

  • 源-滤波器模型 [7]
  • Vocoder 1939 (long) [8]
  • Vocoder 1939 (short) [9]
  • Vocal folder [10]
  • Vocal tract [11]
  • Auditory perception [12]

演示链接

  • Tacotron2 [13]
  • CycleFlow 语音转换 [14]
  • Online demo for TTS and Voice conversion [15]
  • Online TTS demo [16]
  • IBM TTS demo [17]

开发者资源

  • CodePen Web demo for TTS [18]
  • Simple HTML code [19]
  • NVIDIA Tacotron2 [20]


高级读者

  • 汤志远,李蓝天,王东,石颖,蔡云麒,郑方,《语音识别基本法》,清华大学出牌社,2021. [21]
  • Dudley H. The vocoder—Electrical re-creation of speech[J]. Journal of the Society of Motion Picture Engineers, 1940, 34(3): 272-278. [22]
  • Dudley H. Remaking speech[J]. The Journal of the Acoustical Society of America, 1939, 11(2): 169-177.[23]
  • Dudley, Homer (October 1940). "The Carrier Nature of Speech". Bell System Technical Journal. XIX (4). [24]
  • Ning Y, He S, Wu Z, et al. A review of deep learning based speech synthesis[J]. Applied Sciences, 2019, 9(19): 4050. [25][26]
  • Zen H, Tokuda K, Black A W. Statistical parametric speech synthesis[J]. speech communication, 2009, 51(11): 1039-1064. [27]