Updated infos, graphs for 12000 recordings.

This commit is contained in:
Thorsten Mueller 2020-01-01 23:18:48 +01:00
parent e19c006b4d
commit b7515929bf
14 changed files with 7 additions and 16202 deletions

File diff suppressed because it is too large Load Diff

View File

@ -11,7 +11,7 @@ Ich möchte meinen kleinen bescheidenen Beitrag leisten und stelle meine Stimme
# Klingt gut. Was genau gibt es hier.
* Der Corpus als CSV Format, so dass er vom Mimic-Recording-Studio verwendet werden kann (Datenquelle: Mozilla commion voice (anteilig))
* Die LJSpeech-1.1 Struktur (metadata.csv und zugehörige WAV-Dateien) zur Verarbeitung mit mimic2 (basiert auf Tacotron)
>> Aufgrund von Github-Größenbeschränkung liegen die gezippten WAV-Dateien im Google Drive ([Download-Link](https://drive.google.com/drive/folders/12wihZ6X7OYf4-7GG4b-o-f5RaNNPKsqA?usp=sharing)
>> Aufgrund von Github-Größenbeschränkung liegen die gezippten WAV-Dateien im Google Drive ([Download-Link](https://drive.google.com/open?id=1NTi-4r3EWl5dw0k2o4Xh92G0OHvhoxAJ)
# Aktueller Stand
Aufnahmen 3.000 von 20.000 Sätzen mit einer gesprochenen Länge von 5 Stunden, 10 Minuten und einer Sprechgeschwindgkeit von ca. 12-13 Zeichen pro Sekunde.
@ -45,12 +45,12 @@ If you use my (concrete) TTS voice I would be grateful for an info about the pro
Also, my thanks go to the projects / communities of Mozilla Common Voice and MyCroft / Mimic. Especially to Lindsay Saunders (Mozilla) for nice contact and eltocino, gras64, dominik from the MyCroft community for the patience to patiently answer my beginner questions :-).
# Mimic analyse(.py) results (after 5k spoken phrases)
![char_len_vs_avg_secs](./img/5000_phrases_char_len_vs_avg_secs.png?raw=true "char_len_vs_avg_secs")
![char_len_vs_med_secs](./img/5000_phrases_char_len_vs_med_secs.png?raw=true "char_len_vs_med_secs")
![char_len_vs_mode_secs](./img/5000_phrases_char_len_vs_mode_secs.png?raw=true "char_len_vs_mode_secs")
![char_len_vs_num_samples](./img/5000_phrases_char_len_vs_num_samples.png?raw=true "char_len_vs_num_samples")
![char_len_vs_std](./img/5000_phrases_char_len_vs_std.png?raw=true "char_len_vs_std")
# Mimic analyze(.py) results (after 12000 spoken phrases)
![char_len_vs_avg_secs](./img/12000_phrases_char_len_vs_avg_secs.png?raw=true "char_len_vs_avg_secs")
![char_len_vs_med_secs](./img/12000_phrases_char_len_vs_med_secs.png?raw=true "char_len_vs_med_secs")
![char_len_vs_mode_secs](./img/12000_phrases_char_len_vs_mode_secs.png?raw=true "char_len_vs_mode_secs")
![char_len_vs_num_samples](./img/12000_phrases_char_len_vs_num_samples.png?raw=true "char_len_vs_num_samples")
![char_len_vs_std](./img/12000_phrases_char_len_vs_std.png?raw=true "char_len_vs_std")
# Links
* https://voice.mozilla.org/

File diff suppressed because it is too large Load Diff

Binary file not shown.

After

Width:  |  Height:  |  Size: 28 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 30 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 32 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 34 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 33 KiB