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I'd like to offer you a piece of work that I have recently been doing for the ToobAmp project. The net benefit: a 25% performance improvement for the most commonly used WaveNet model on ToneHunt at p…
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It was mentioned in the paper "Our model resembles WaveNet (Oord et al., 2016a) in the use of tree-structured dilated convolutions. However, our principle-guided design has distinct skip-connection st…
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Which models runs on consumer resources? Can fast wavenet do anything wavenet can do? Besides generating outputs way faster, and needing less memory, how much memory does it use? Is this repo based on…
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- [x] Understand the basic concepts of WaveNet architecture
- [x] Get the model running
- [ ] Try on some random audio
- [ ] (Optional) Find WaveNet implementation in Keras
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Can someone explain to me the meaning behind the following parameters?
residual_channels": 32,
dilation_channels": 32,
skip_channels": 512,
I could not find a definition for what these paramete…
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## 詳細
無料で使える、もしくは無料枠が広めな音声合成APIを調査する。
音声合成器を入れ替えることを検討する。
## 候補
- [ElevenLabs](https://elevenlabs.io/text-to-speech)：人間に近い音声合成が可能であり高速。APIも叩けるが[無料プラン](https://elevenlabs.io/pricing)だと10分/月までしか使用…
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I've trying to find the model hyper-parameters used in the original paper.
I refer to the following:
* Number of Layers
* Number of Blocks
* Skip channels
* Residual Channels
* Out Channels
…
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Currently, the WaveNet model processing code re-sizes vectors and matrices based on the audio buffer size during processing. This is non-ideal for real-time operation. Instead, all sizing operations s…
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What are the time scales for training wavenet? testing? Did someone try it on AWS? What were the specs of the cloud?
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According to recent talk (https://www.youtube.com/watch?v=nsrSrYtKkT8)
(1,2,4,...512) (1,2,4,...512) (1,2,4,...512) 30 layers
![image](https://cloud.githubusercontent.com/assets/2463571/23220316/e…