After 100 epochs training, the model can synthesize natural speech on LibriTTS #58

dohe0342 · 2023-03-20T07:44:40Z

I trained vall-e on LibriTTS about 100 epochs (took almost 4 days on 8 A100 GPUs) and I obtained plausible synthesized audio.

Here is a demo.
[1]
prompt : prompt_link
synthesized audio : synt_link

[2]
prompt : prompt_link
ground truth : gt_link
synthesized audio : synt_link

[3]
prompt : prompt_link
synthesized audio : synt_link

[4]
prompt : prompt_link
ground truth : gt_link
synthesized audio : synt_link

The model I trained has worse quality than original vall-e because of dataset amount. However, It has a promising quality in clean audio.
I'm not sure whether I can share my pre-trained LibriTTS model. If I can, I would like to share the pre-trained LibriTTS model.

hdmjdp · 2023-03-20T07:49:42Z

@dohe0342 prefix 0？ and can you share your config?

dohe0342 · 2023-03-20T07:53:24Z

@hdmjdp

I can't understand prefix. What does it mean?

Here is the shell script i ran. I just changed the "num-epochs", "max-duration" and "world-size".

./run.sh --stage 4 --stop-stage 4 --max-duration 50 --filter-max-duration 14 --num-decoder-layers 12 --world-size 8 --num-epochs 100

hdmjdp · 2023-03-20T08:03:42Z

@dohe0342

The mode for how to prefix VALL-E NAR Decoder, "

54 | "0: no prefix, 1: 0 to random, 2: random to random.",

hdmjdp · 2023-03-20T08:06:08Z

@dohe0342 can you share your tensorboard image?

dohe0342 · 2023-03-20T08:19:32Z

@hdmjdp

I ran vall-e last week version which has no prefix option. And I found prefix 0 is same as vall-e last week version version.

Here is my tensorboard image. I ran 177 epochs actually but 100-epoch checkpoint was used to generate audios.

I'll soon upload tensorboard image. Please wait.

dohe0342 · 2023-03-20T08:28:46Z

@hdmjdp

Here is my tensorboard log.
tensorboard

thangnvkcn · 2023-03-20T08:30:04Z

@dohe0342
Can you share the pre-trained LibriTTS model for me, if possible please send it to me at thangmta30@gmail.com

hdmjdp · 2023-03-20T08:32:20Z

@hdmjdp Can you share the pre-trained LibriTTS model for me, if possible please send it to me at thangmta30@gmail.com

Not me

hdmjdp · 2023-03-20T08:54:43Z

@hdmjdp

Here is my tensorboard log. tensorboard

Thanks. Whether the prompt speaker of your demo wav in your training data?

dohe0342 · 2023-03-20T09:17:43Z

@hdmjdp

The prompt speakers are in test-clean not training data.

lifeiteng · 2023-03-20T11:51:32Z

@dohe0342 Thank you for sharing this.

shanhaidexiamo · 2023-03-20T13:08:36Z

based on the latest commit? Thanks

dohe0342 · 2023-03-20T17:41:11Z

based on the latest commit? Thanks
based on last week commit. thank you

liuxun666 · 2023-03-21T10:27:39Z

mark

jieen1 · 2023-03-21T14:34:50Z

@dohe0342 can you share this model for me? wangjiashejieen@gmail.com here is my email. Thanks.

LorenzoBrugioni · 2023-03-21T16:44:00Z

Hey @dohe0342 , great work! Would you think it could be possible to share the pre-trained model? 🙏🏻🙏🏻🙏🏻
Just in case, here's my email : lori.brugio@gmail.com

UncleSens · 2023-03-21T17:28:43Z

Thank you for your contribution @dohe0342!
In case it's possible to share the model, would you please send it to me?
Here is my email: senqiu37@gmail.com

Zhang-Xiaoyi · 2023-03-22T08:39:48Z

@dohe0342 Very nice results! Can you share your trained model if it is possible? my email is zhangxiaoyi1127@gmail.com

lqj01 · 2023-03-23T02:55:18Z

@dohe0342 Very nice results! Can you share your trained model if it is possible? my email is liqianjin2018@gmail.com

WendongGan · 2023-03-23T05:57:08Z

@dohe0342 I'm interested in your pre-training model. Can you share your pre-training model with me? Thank you! my email is : 15982350806@163.com

yiwei0730 · 2023-03-23T07:55:17Z

I'm so interested in your pre-training model. The result was amazing, can you share the pretrained model with me ? I would be very appreciated. my email : yiwei110181@gmail.com

hackerxiaobai · 2023-03-23T08:12:46Z

Very nice results! Can you share your trained model if it is possible? my email is wl_9322@163.com

hardik7 · 2023-03-24T13:53:08Z

@dohe0342 Interesting results! Could you please try synthesising audio from a cartoon character's audio prompt, something like this: https://drive.google.com/file/d/11NDZzopniwIFJa8dr4hAKp2md8cxel4w/view?usp=sharing
Curious to know how would VALL-E's output sound like with non-human like voices.
Thanks!

dohe0342 · 2023-03-25T03:13:09Z

@thangnvkcn @jieen1 @LorenzoBrugioni @UncleSens @Zhang-Xiaoyi @lqj01 @UESTCgan @yiwei0730 @hackerxiaobai

Sorry for late reply. This is the model that I trained.
google drive link : link

infer like this command:
python bin/infer.py --output-dir ./ --model-name valle --norm-first true --add-prenet false --decoder-dim 1024 --nhead 16 --num-decoder-layers 12 --text-prompts "KNOT one point one five miles per hour." --audio-prompts ./prompts/8463_294825_000043_000000.wav --text "To get up and running quickly just follow the steps below." --checkpoint exp/epoch-100.pt

@hardik7 I shared my pre-trained model. So you can synthesize the cartoon audio. But I trained my model using LibriTTS which is composed of 550 hours human audiobook. And original vall-e was trained on librilight which has 60k hours audio.

So, my pre-trained model has no capability to synthesize cartoon audio since lack of cartoon train set and lack of dataset amount.

Zhang-Xiaoyi · 2023-03-28T01:38:05Z

@thangnvkcn @jieen1 @LorenzoBrugioni @UncleSens @Zhang-Xiaoyi @lqj01 @UESTCgan @yiwei0730 @hackerxiaobai

Sorry for late reply. This is the model that I trained. google drive link : link

infer like this command: python bin/infer.py --output-dir ./ --model-name valle --norm-first true --add-prenet false --decoder-dim 1024 --nhead 16 --num-decoder-layers 12 --text-prompts "KNOT one point one five miles per hour." --audio-prompts ./prompts/8463_294825_000043_000000.wav --text "To get up and running quickly just follow the steps below." --checkpoint exp/epoch-100.pt

@hardik7 I shared my pre-trained model. So you can synthesize the cartoon audio. But I trained my model using LibriTTS which is composed of 550 hours human audiobook. And original vall-e was trained on librilight which has 60k hours audio.

So, my pre-trained model has no capability to synthesize cartoon audio since lack of cartoon train set and lack of dataset amount.

Thanks for sharing. I have trained a model using the same config as yours. I just checked the ckpt at 30 epoch and it produces quite good results. I will compare with your ckpt at 100 epoch.

hardik7 · 2023-03-28T02:09:17Z

@thangnvkcn @jieen1 @LorenzoBrugioni @UncleSens @Zhang-Xiaoyi @lqj01 @UESTCgan @yiwei0730 @hackerxiaobai

Sorry for late reply. This is the model that I trained. google drive link : link

infer like this command: python bin/infer.py --output-dir ./ --model-name valle --norm-first true --add-prenet false --decoder-dim 1024 --nhead 16 --num-decoder-layers 12 --text-prompts "KNOT one point one five miles per hour." --audio-prompts ./prompts/8463_294825_000043_000000.wav --text "To get up and running quickly just follow the steps below." --checkpoint exp/epoch-100.pt

@hardik7 I shared my pre-trained model. So you can synthesize the cartoon audio. But I trained my model using LibriTTS which is composed of 550 hours human audiobook. And original vall-e was trained on librilight which has 60k hours audio.

So, my pre-trained model has no capability to synthesize cartoon audio since lack of cartoon train set and lack of dataset amount.

Thank you @dohe0342. Will do some experiments with non-human voices and will train my own model with the relevant dataset.

OnceJune · 2023-03-28T03:24:03Z

@dohe0342 hi, have you evaluated the inference speed? what's the RTF when generate audio? How about the correctness of the pronunciation?

bprimal22 · 2023-03-30T14:42:07Z

@dohe0342
Is it possible to train on top of your trained model?

lifeiteng · 2023-03-31T02:45:47Z

@hdmjdp

I ran vall-e last week version which has no prefix option. And I found prefix 0 is same as vall-e last week version version.

Here is my tensorboard image. I ran 177 epochs actually but 100-epoch checkpoint was used to generate audios.

I'll soon upload tensorboard image. Please wait.

@dohe0342
It should be --prefix-mode 1, can you test --prefix-mode 1 on branch stage #59

codehappy-net · 2023-04-21T03:30:57Z

I received similar errors and had to install earlier versions of Python and torch to resolve them. It's just Python ML dependency hell; breaking API changes occur from version to version for little real reason. The versions of the big dependencies installed in my working VALL-E conda environment are:

python: 3.8.0
torch: 1.13.1+cu116
numpy: 1.22.4

no-Seaweed · 2023-04-21T07:22:24Z

I received similar errors and had to install earlier versions of Python and torch to resolve them. It's just Python ML dependency hell; breaking API changes occur from version to version for little real reason. The versions of the big dependencies installed in my working VALL-E conda environment are:

python: 3.8.0 torch: 1.13.1+cu116 numpy: 1.22.4

Do you mean you switch your previous dependency to torch 1.13.1+cu116 and etc, and the missing key problem is solved?

catalwaysright · 2023-04-21T08:28:32Z

I received similar errors and had to install earlier versions of Python and torch to resolve them. It's just Python ML dependency hell; breaking API changes occur from version to version for little real reason. The versions of the big dependencies installed in my working VALL-E conda environment are:
python: 3.8.0 torch: 1.13.1+cu116 numpy: 1.22.4

Do you mean you switch your previous dependency to torch 1.13.1+cu116 and etc, and the missing key problem is solved?

I solved this error when I switch the rep version to v0.1.0. It can infer successfully but the output is nothing but noise. Could you @dohe0342 please reveal the code zip you used to train this model? Thanks in advance.

no-Seaweed · 2023-04-23T11:06:26Z

I received similar errors and had to install earlier versions of Python and torch to resolve them. It's just Python ML dependency hell; breaking API changes occur from version to version for little real reason. The versions of the big dependencies installed in my working VALL-E conda environment are:
python: 3.8.0 torch: 1.13.1+cu116 numpy: 1.22.4

Do you mean you switch your previous dependency to torch 1.13.1+cu116 and etc, and the missing key problem is solved?

I solved this error when I switch the rep version to v0.1.0. It can infer successfully but the output is nothing but noise. Could you @dohe0342 please reveal the code zip you used to train this model? Thanks in advance.

Finally, I find the corresponding version of code and was able to produce a correct output. Please find b83653a.

eschmidbauer · 2023-05-01T19:36:27Z

i cannot run inference with the pretrained model provided, i get the following error:

RuntimeError: Error(s) in loading state_dict for VALLE:
	Missing key(s) in state_dict: "ar_text_embedding.word_embeddings.weight", "nar_text_embedding.word_embeddings.weight", "ar_audio_embedding.word_embeddings.weight", "ar_text_position.alpha", "ar_audio_position.alpha", "ar_predict_layer.weight", "nar_audio_embeddings.0.word_embeddings.weight", "nar_audio_embeddings.1.word_embeddings.weight", "nar_audio_embeddings.2.word_embeddings.weight", "nar_audio_embeddings.3.word_embeddings.weight", "nar_audio_embeddings.4.word_embeddings.weight", "nar_audio_embeddings.5.word_embeddings.weight", "nar_audio_embeddings.6.word_embeddings.weight", "nar_audio_embeddings.7.word_embeddings.weight", "nar_text_position.alpha", "nar_audio_position.alpha", "nar_predict_layers.0.weight", "nar_predict_layers.1.weight", "nar_predict_layers.2.weight", "nar_predict_layers.3.weight", "nar_predict_layers.4.weight", "nar_predict_layers.5.weight", "nar_predict_layers.6.weight", "nar_stage_embeddings.0.word_embeddings.weight", "nar_stage_embeddings.1.word_embeddings.weight", "nar_stage_embeddings.2.word_embeddings.weight", "nar_stage_embeddings.3.word_embeddings.weight", "nar_stage_embeddings.4.word_embeddings.weight", "nar_stage_embeddings.5.word_embeddings.weight", "nar_stage_embeddings.6.word_embeddings.weight".
	Unexpected key(s) in state_dict: "text_embedding.word_embeddings.weight", "ar_embedding.word_embeddings.weight", "nar_embeddings.0.word_embeddings.weight", "nar_embeddings.1.word_embeddings.weight", "nar_embeddings.2.word_embeddings.weight", "nar_embeddings.3.word_embeddings.weight", "nar_embeddings.4.word_embeddings.weight", "nar_embeddings.5.word_embeddings.weight", "nar_embeddings.6.word_embeddings.weight", "nar_embeddings.7.word_embeddings.weight", "text_position.alpha", "audio_positions.0.alpha", "audio_positions.1.alpha", "audio_positions.2.alpha", "audio_positions.3.alpha", "audio_positions.4.alpha", "audio_positions.5.alpha", "audio_positions.6.alpha", "audio_positions.7.alpha", "stage_embeddings.0.word_embeddings.weight", "stage_embeddings.1.word_embeddings.weight", "stage_embeddings.2.word_embeddings.weight", "stage_embeddings.3.word_embeddings.weight", "stage_embeddings.4.word_embeddings.weight", "stage_embeddings.5.word_embeddings.weight", "stage_embeddings.6.word_embeddings.weight", "stage_embeddings.7.word_embeddings.weight", "predict_layers.0.weight", "predict_layers.1.weight", "predict_layers.2.weight", "predict_layers.3.weight", "predict_layers.4.weight", "predict_layers.5.weight", "predict_layers.6.weight", "predict_layers.7.weight".

RuntimeRacer · 2023-05-01T20:55:21Z

@eschmidbauer you'll need to checkout the commit referenced in the comment #58 (comment) right above yours.

eschmidbauer · 2023-05-01T21:32:09Z

thanks! i'll give that a try, i was actually able to continue training with the model though.

etwk · 2023-05-03T07:57:57Z

Thanks for sharing the model.

Tried the epoch, could generate a similar style of audio when text prompts and output text are all short. Will result in the warning below when either text prompts or output text are longer:

WARNING [words_mismatch.py:88] words count mismatch on 100.0% of the lines (1/1).

What's the proper way to generate longer audio?

debasishaimonk · 2023-05-10T04:52:36Z

@dohe0342 on how many distinct speakers that u trained on, which you have shared your trained model?

cantabile-kwok · 2023-05-23T07:59:23Z

Thanks for sharing the model.

Tried the epoch, could generate a similar style of audio when text prompts and output text are all short. Will result in the warning below when either text prompts or output text are longer:

WARNING [words_mismatch.py:88] words count mismatch on 100.0% of the lines (1/1).

What's the proper way to generate longer audio?

Not only this warning keeps to exist, but also the generated audio misses, babbles or repeats a lot of words if the text is relatively long. Is it because of 100 epochs on LibriTTS are still not able to learn well?

chenjiasheng · 2023-05-23T08:28:57Z

i think the warning comes from the 3rd party tokenizer which is safe to ignore. @lifeiteng can you confirm this? About the lacking performance on long text, i guess it is because most of the utterances in the train dataset is short, the model had never seen a long text.  To alleviate it, I suggest you finetune the model on longer utterances like librilight. Looking forward to your experiment result if you have time to so it.

…

---Original--- From: ***@***.***> Date: Tue, May 23, 2023 15:59 PM To: ***@***.***>; Cc: ***@***.***>; Subject: Re: [lifeiteng/vall-e] After 100 epochs training, the model cansynthesize natural speech on LibriTTS (Issue #58) Thanks for sharing the model. Tried the epoch, could generate a similar style of audio when text prompts and output text are all short. Will result in the warning below when either text prompts or output text are longer: WARNING [words_mismatch.py:88] words count mismatch on 100.0% of the lines (1/1). What's the proper way to generate longer audio? Not only this warning keeps to exist, but also the generated audio misses, babbles or repeats a lot of words if the text is relatively long. Is it because of 100 epochs on LibriTTS are still not able to learn well? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

cantabile-kwok · 2023-05-23T10:22:47Z

So, did you encounter this long waveform issue as well @chenjiasheng? Actually my test sentences come from LibriTTS test set, and it is supposed to have the same length distribution on the train set. I found that, using the checkpoint released in this thread, the model can hardly generate 100% correct speech if it is longer than something around 12s. Technically that length should not be regarded as "very long" usually. Does it mean that when training this model, most of the data longer than 12s are dropped by some way?

lifeiteng · 2023-05-23T15:36:48Z

@cantabile-kwok more info about words count mismatch #5

chenjiasheng · 2023-05-30T04:14:21Z

So sorry that i missed your reply, Hope it is not too late. By default audios longer than 14 second are truncated, because long audios are very RAM inefficient. You can try change that argument named something like filter-max.

…

---Original--- From: ***@***.***> Date: Tue, May 23, 2023 18:23 PM To: ***@***.***>; Cc: ***@***.******@***.***>; Subject: Re: [lifeiteng/vall-e] After 100 epochs training, the model cansynthesize natural speech on LibriTTS (Issue #58) So, did you encounter this long waveform issue as well @chenjiasheng? Actually my test sentences come from LibriTTS test set, and it is supposed to have the same length distribution on the train set. I found that, using the checkpoint released in this thread, the model can hardly generate 100% correct speech if it is longer than something around 12s. Technically that length should not be regarded as "very long" usually. Does it mean that when training this model, most of the data longer than 12s are dropped by some way? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>

temporaryharry · 2023-06-07T17:16:23Z

Could anyone send me the "unique_text_tokens.k2symbols" because it is not in valle\egs\libritts\data\tokenized without training my email is grandmaskisses342@gmail.com

sjoon2455 · 2023-06-20T16:07:27Z

Is 100 epoch ar and nar model each? The code has changed now, so I was wondering :)
I have reproduced the training but it seems to have a bit different performance (and mine took for about 1.5 days to train 100 epoch each! on 8 * A100 gpus!)

JonathanColetti · 2023-06-23T02:36:11Z

@sjoon2455 can you share your tensorboard?

KeiKinn · 2023-06-23T10:54:20Z

Many of us encountered the missing keys problem when loading the pretrained model. If anyone wants to use the pretrained model provided by @dohe0342, the main trick is that you should checkout to the right commit or any commit with the same valle model, and then reinstall valle by
pip uninstall valle; pip install -e .
Since when we tried to initialize a new model, python will use the valle installed in env instead of the source code.

raikarsagar · 2023-07-23T08:49:28Z

@dohe0342 Thanks for sharing the pretrained model which is trained for 100 epochs. When we say, 100 epochs, is it 100 each for AR and NAR or combined numbers where we start with an AR model (probably 50 epochs)? Pls clarify. I have trained a model for 100 epochs but quality isnt as good as shared by you here at the beginning.

Thanks in advance
Sagar

nathanodle · 2023-10-04T21:44:42Z

Have you or has anyone else done further training? Also, which Libre dataset (size) was it? Thanks!

RoyandZoe · 2023-10-10T06:14:27Z

@dohe0342 I'm interested in your pre-training model. Can you share your pre-training model with me? Thank you! my email is : xlwj_sd@163.com

Abdulk084 · 2023-10-28T06:22:40Z

how

epoch-100.pt

how does epoch-100.pt works with the inferences code provided in this repo
as ar.pt and nar.pt are needed?

AI-ctrl · 2023-11-03T20:16:03Z

@dohe0342 I'm interested in your pre-training model. Can you share your pre-training model with me? Thank you! my email is : ajeet9698@gmail.com

AI-ctrl · 2023-11-03T20:23:01Z

@dohe0342 I'm interested in your pre-training model. Can you share your pre-training model with me? Thank you! my email is : ajeet9698@gmail.com

and will it work if i want to train it on specific set of voices let's say 10 or 15 persons set of voices

liuyuhualilith · 2024-02-28T09:02:58Z

@thangnvkcn @jieen1 @LorenzoBrugioni @UncleSens @Zhang-Xiaoyi @lqj01@电子科技大学根@yiwei0730 @hackerxiaobai

抱歉回复晚了。这是我训练的模型。谷歌驱动器链接：链接

像这样的命令推断： python bin/infer.py --output-dir ./ --model-name valle --norm-first true --add-prenet false --decoder-dim 1024 --nhead 16 --num-decoder-layers 12 --text-prompts "KNOT one point one five miles per hour." --audio-prompts ./prompts/8463_294825_000043_000000.wav --text "To get up and running quickly just follow the steps below." --checkpoint exp/epoch-100.pt

@hardik7我分享了我的预训练模型。这样你就可以合成卡通音频了。但我使用 LibriTTS 训练了我的模型，该模型由 550 小时的人类有声读物组成。最初的 val-e 是在 librilight 上进行训练的，它有 60k 小时的音频。

因此，由于缺乏卡通训练集和数据集数量，我的预训练模型无法合成卡通音频。

Hello! I am interested in your pre-training model. The pre-training weights you posted seem to be invalid. Can you share your pre-training model with me? Thank you!

RafaelJCruz · 2024-03-23T11:04:10Z

@thangnvkcn @jieen1 @LorenzoBrugioni @UncleSens @Zhang-Xiaoyi @lqj01 @UESTCgan @yiwei0730 @hackerxiaobai

Sorry for late reply. This is the model that I trained. google drive link : link

infer like this command: python bin/infer.py --output-dir ./ --model-name valle --norm-first true --add-prenet false --decoder-dim 1024 --nhead 16 --num-decoder-layers 12 --text-prompts "KNOT one point one five miles per hour." --audio-prompts ./prompts/8463_294825_000043_000000.wav --text "To get up and running quickly just follow the steps below." --checkpoint exp/epoch-100.pt

@hardik7 I shared my pre-trained model. So you can synthesize the cartoon audio. But I trained my model using LibriTTS which is composed of 550 hours human audiobook. And original vall-e was trained on librilight which has 60k hours audio.

So, my pre-trained model has no capability to synthesize cartoon audio since lack of cartoon train set and lack of dataset amount.

Thanks for sharing, however, this google link has already expired. Could you update a new version? Thanks a lot!

cad-audio · 2024-05-17T04:44:39Z

@dohe0342 ,
could you please share the pre-trained model for VALL-E. The google link has expired.
If possible, please share us the training script which you have used.

Thanks

thisserand mentioned this issue Mar 28, 2023

How to Pretrain on LibriTTS enhuiz/vall-e#24

Open

This was referenced Apr 26, 2023

Pretrained Model #94

Open

SyntaxError: invalid syntax at ../../egs/librispeech/ASR/pruned_transducer_stateless2/scaling.py #105

Closed

chenjiasheng mentioned this issue May 14, 2023

How many epochs of the AR and NAR with the training separation method? #106

Closed

After 100 epochs training, the model can synthesize natural speech on LibriTTS #58

After 100 epochs training, the model can synthesize natural speech on LibriTTS #58

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dohe0342 commented Mar 20, 2023

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hdmjdp commented Mar 20, 2023

The mode for how to prefix VALL-E NAR Decoder, "

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dohe0342 commented Mar 20, 2023 •

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thangnvkcn commented Mar 20, 2023 •

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LorenzoBrugioni commented Mar 21, 2023 •

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OnceJune commented Mar 28, 2023 •

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lifeiteng commented Mar 31, 2023 •

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no-Seaweed commented Apr 23, 2023 •

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sjoon2455 commented Jun 20, 2023 •

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KeiKinn commented Jun 23, 2023 •

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