Larynx Demo
推荐理由
Larynx is significantly ahead in terms of quality of output
说明
这是2021年由synesthesiam发布的一部演示,主题归在Computer vision, speech & NLP。它讲的是offline text-to-speech这一支里的具体问题,而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成:A demonstration of Larynx, an offline open source neural text-to-speech system supporting nine languages. The video itself is narrated with a Larynx-generated voice.这些读者给出的理由,核心是:HN points to it as proof that offline TTS can sound natural, relevant to private voice assistant alternatives.它贴着当时的技术,看的时候要记得那是那个年份的判断。从2021年到2023年,有3位不同的读者在2个不同月份把它推荐出来,其中明确叫别人去看的有0次。适合先看结果再决定要不要深挖的人。先看它做成了什么。如果已经会了基本定义,就把注意力放在它怎么把offline text-to-speech变成能跟着复述的例子。
视频信息
- 频道
- synesthesiam
- 时长
- 54 小时 13 分
- 发布年份
- 2021
同主题更多
- Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning
- "Voice Driven Development: Who needs a keyboard anyway?" by Emily Shea
- Andrej Karpathy - AI for Full-Self Driving at Tesla
- Tensorflow and deep learning - without a PhD by Martin Görner
- JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile
- Fourier Optics used for Optical Pattern Recognition