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Eren Gölge 2019-09-10 13:32:37 +03:00 committed by GitHub
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@ -50,7 +50,7 @@ Below you see Tacotron model state after 16K iterations with batch-size 32 with
Audio examples: [https://soundcloud.com/user-565970875](https://soundcloud.com/user-565970875)
![example_model_output](images/example_model_output.png?raw=true)
<img src="images/example_model_output.png?raw=true" alt="example_output" width="400"/>
## Runtime
The most time-consuming part is the vocoder algorithm (Griffin-Lim) which runs on CPU. By setting its number of iterations lower, you might have faster execution with a small loss of quality. Some of the experimental values are below.
@ -176,4 +176,4 @@ Please feel free to offer new changes and pull things off. We are happy to discu
### References
- https://github.com/keithito/tacotron (Dataset pre-processing)
- https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture)
- https://github.com/r9y9/tacotron_pytorch (Initial Tacotron architecture)