“TTS-project-synthesis”版本间的差异
来自cslt Wiki
| 第11行： | 第11行： | ||
Synthesis text:好雨知时节，当春乃发声，随风潜入夜，润物细无声 | Synthesis text:好雨知时节，当春乃发声，随风潜入夜，润物细无声 | ||
| − | == | + | ==Mono-speaker TTS== |
*Female[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/huilian/female01/female01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | *Female[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/huilian/female01/female01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| 第18行： | 第18行： | ||
*Child[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/huilian/child01.neutral/child01-neutral_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | *Child[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/huilian/child01.neutral/child01-neutral_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| − | + | ==Multi-speaker mix-training without speaker-vector== | |
*Female & Male[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/female01-male01/female01-male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | *Female & Male[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/female01-male01/female01-male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| − | *Female | + | *Female & Child[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/female01-child01.neutral/female01-child.neutral_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] |
*Male & Child[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/male01-child01.neutral/male01_child01.neutral_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | *Male & Child[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/male01-child01.neutral/male01_child01.neutral_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| − | == | + | ==Multi-speaker mix-training with speaker-vector== |
| − | * | + | When synthesis, we just replace the speaker-vector for specific person. |
| + | *Specific person=== | ||
:*Female[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/all.dvector40/female01.dvec40_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | :*Female[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/all.dvector40/female01.dvec40_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
:*Male[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/all.dvector40/male01.dvec40_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | :*Male[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/all.dvector40/male01.dvec40_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| − | * | + | *Interpolate the speaker-vector of different person |
:* Female & Male with different ratio | :* Female & Male with different ratio | ||
| + | (1) 0.0:1.0[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_0_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (2) 0.1:0.9[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_1_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (3) 0.2:0.8[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_2_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (4) 0.3:0.7[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_3_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (5) 0.4:0.6[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_4_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (6) 0.5:0.5[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_5_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (7) 0.6:0.4[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_6_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (8) 0.7:0.3[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_7_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (9) 0.8:0.2[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_8_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (10) 0.9:0.1[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_9_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
| + | (11) 1.0:0.0[http://zhangzy.cslt.org/categories/tts/sample-wav/mimic-wangd-front-end/multi-speakers/mix/iterpolation/female01_male01/iterpolation_10_female01_male01_5_amdurTanh_acTanh_mlpg1_postfilter1.world.wav01.wav] | ||
2017年12月1日 (五) 02:59的版本
目录
Project name
Text To Speech
Project members
Dong Wang, Zhiyong Zhang
Introduction
xxx
Sample waves
Synthesis text:好雨知时节，当春乃发声，随风潜入夜，润物细无声
Mono-speaker TTS
- Female[1]
- Male[2]
- Child[3]
Multi-speaker mix-training without speaker-vector
- Female & Male[4]
- Female & Child[5]
- Male & Child[6]
Multi-speaker mix-training with speaker-vector
When synthesis, we just replace the speaker-vector for specific person.
- Specific person===
- Female[7]
- Male[8]
- Interpolate the speaker-vector of different person
- Female & Male with different ratio
(1) 0.0:1.0[9] (2) 0.1:0.9[10] (3) 0.2:0.8[11] (4) 0.3:0.7[12] (5) 0.4:0.6[13] (6) 0.5:0.5[14] (7) 0.6:0.4[15] (8) 0.7:0.3[16] (9) 0.8:0.2[17] (10) 0.9:0.1[18] (11) 1.0:0.0[19]
