Closed williamluke4 closed 4 years ago
Seems much slower than real time.
with a 1030:
Using device: cuda
Initialising WaveRNN Model...
Trainable Parameters: 4.234M
Loading Weights: "quick_start/voc_weights/latest_weights.pyt"
Initialising Tacotron Model...
Trainable Parameters: 11.088M
Loading Weights: "quick_start/tts_weights/latest_weights.pyt"
+---------+---------------+-----------------+----------------+-----------------+
| WaveRNN | Tacotron(r=2) | Generation Mode | Target Samples | Overlap Samples |
+---------+---------------+-----------------+----------------+-----------------+
| 797k | 180k | Batched | 11000 | 550 |
+---------+---------------+-----------------+----------------+-----------------+
| Generating 1/1
| ████████████████ 84000/84700 | Batch Size: 7 | Gen Rate: 5.6kHz |
Done.
real 0m19.961s
user 0m17.973s
sys 0m3.026s
On a 1070:
test@acropolis:$ time python3 quick_start.py --input_text "the weather in austin is eighty seven degrees and partly cloudy."
Using device: cuda
Initialising WaveRNN Model...
Trainable Parameters: 4.234M
Loading Weights: "quick_start/voc_weights/latest_weights.pyt"
Initialising Tacotron Model...
Trainable Parameters: 11.088M
Loading Weights: "quick_start/tts_weights/latest_weights.pyt"
+---------+---------------+-----------------+----------------+-----------------+
| WaveRNN | Tacotron(r=2) | Generation Mode | Target Samples | Overlap Samples |
+---------+---------------+-----------------+----------------+-----------------+
| 797k | 180k | Batched | 11000 | 550 |
+---------+---------------+-----------------+----------------+-----------------+
| Generating 1/1
| ████████████████ 84000/84700 | Batch Size: 7 | Gen Rate: 10.4kHz |
Done.
real 0m12.461s
user 0m11.764s
sys 0m1.062s
Have you tried out LPCnet?
Not yet will check it out
It looks very promising, do you have any idea how to implement it?
No, was hoping you might have. :)
Bugger, If you want to have a go at it together let me know :)
Github Samples