“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：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：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] |
| + | * 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] | ||
| + | * 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] | ||
| − | + | * Vocal folder [http://aigraph.cslt.org/courses/27/vocalfolder.mp4] | |
| + | * Vocal tract [http://aigraph.cslt.org/courses/27/vocaltract.mp4] | ||
| + | * Auditory perception [http://aigraph.cslt.org/courses/27/hearing.mp4] | ||
==演示链接== | ==演示链接== | ||
| + | * Tacotron2 [https://google.github.io/tacotron/publications/tacotron2/] | ||
| + | * CycleFlow 语音转换 [http://cycleflow.cslt.org] | ||
| + | * Online demo for TTS and Voice conversion [https://candyvoice.com/demos/voice-conversion?lang=en] | ||
| + | * Online TTS demo [https://eeejay.github.io/webspeechdemos/] | ||
| + | * IBM TTS demo [https://www.ibm.com/demos/live/tts-demo/self-service] | ||
| + | ==开发者资源== | ||
| − | + | * CodePen Web demo for TTS [https://codepen.io/matt-west/pen/wGzuJ] | |
| + | * Simple HTML code [https://embed.plnkr.co/WjmlDnxcXX5dqlQI/] | ||
| + | * NVIDIA Tacotron2 [https://github.com/NVIDIA/tacotron2] | ||
| 第26行： | 第38行： | ||
* 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] | ||
| + | * 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] | ||
| + | * 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] | ||
| + | * 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/] | ||
| + | * 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
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
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]
