This repository explains how to export QuartzNet of NeMo as ONNX and use ONNX Runtime to recognize English texts from audio.
Clone the repository. Make sure to enable Git LFS as ONNX and WAV files are stored in LFS.
git clone https://github.com/kaiidams/NeMoOnnxSharp.git
Run dotnet command to run the program. The project file
is for .NET Core 7.0 SDK. This should work either with
Linux and Windows, also probably with MacOS.
cd NeMoOnnxSharp
dotnet run --project NeMoOnnxSharp.Example
If you are more famililar to Visual Studio, you can open
NeMoOnnxSharp\NeMoOnnxSharp.sln and run the program with F5.
The program reads a test file,
test_data\transcript.txt and print predicted results. The format of the output is
three columns separated by |, names of wav files, target texts, predicted texts.
The test data is from
test-clean.tar.gz
of
LibriSpeech.
| Name | Target | Predicted |
|---|---|---|
| 61-70968-0000.wav | he began a confused complaint against the wizard who had vanished behind the curtain on the left | he began a confused complaint against the wizard who had vanished behind the curtain on the left |
| 61-70968-0001.wav | give not so earnest a mind to these mummeries child | kive not so earnest a mind to these mummeries child |
| 61-70968-0002.wav | a golden fortune and a happy life | a golden fortune and a happy life |
| 61-70968-0003.wav | he was like unto my father in a way and yet was not my father | he was like unto my father in a way and yet was not my father |
| 61-70968-0004.wav | also there was a stripling page who turned into a maid | also there was a stripling page who turned it to a maid |
| 61-70968-0005.wav | this was so sweet a lady sir and in some manner i do think she died | this was so sweet a lady sir and in some manner i do think she died |
| 61-70968-0006.wav | but then the picture was gone as quickly as it came | but then the picture was gone as quickly as it came |
| 61-70968-0007.wav | sister nell do you hear these marvels | sister nell do you hear these marvels |
| 61-70968-0008.wav | take your place and let us see what the crystal can show to you | take your place and let us see what the crystal can show to you |
| 61-70968-0009.wav | like as not young master though i am an old man | like as not young master though i am an old man |
| 61-70968-0010.wav | forthwith all ran to the opening of the tent to see what might be amiss but master will who peeped out first needed no more than one glance | forthwithal ran to the opening of the tent to see what might be amiss but master will who peeped out first needed no more than one glance |
| 61-70968-0011.wav | he gave way to the others very readily and retreated unperceived by the squire and mistress fitzooth to the rear of the tent | he gave way to the others very readily and retreated unperceived by the squire and mistress fitzooth to the rear of the tent |
| 61-70968-0012.wav | cries of a nottingham a nottingham | cries of a nottingham an nottingham |
| 61-70968-0013.wav | before them fled the stroller and his three sons capless and terrified | before them fled the stroller and his three sons capless and terrified |
| 61-70968-0014.wav | what is the tumult and rioting cried out the squire authoritatively and he blew twice on a silver whistle which hung at his belt | what is the tumult an rioting cried out the squire authoritatively and he blew twice on the silver whistle which hung at his belt |
| 61-70968-0015.wav | nay we refused their request most politely most noble said the little stroller | nay we refused their request most politely most noble said the little stroller |
| 61-70968-0016.wav | and then they became vexed and would have snatched your purse from us | and then they became vexed and would have snatched your purse from us |
| 61-70968-0017.wav | i could not see my boy injured excellence for but doing his duty as one of cumberland's sons | i could not see my boy injured excellence for but doing his duty as one of cumberland's sons |
| 61-70968-0018.wav | so i did push this fellow | so i did push this fellow |
| 61-70968-0019.wav | it is enough said george gamewell sharply and he turned upon the crowd | it is eough said george gamwell sharply as he turned upon the crowd |
| 61-70968-0020.wav | shame on you citizens cried he i blush for my fellows of nottingham | shame on you citizens cried he i blush for my fellows of nottingham |
| 61-70968-0021.wav | surely we can submit with good grace | surely we can submit with good grace |
| 61-70968-0022.wav | tis fine for you to talk old man answered the lean sullen apprentice | tis fine for you to talk old man answered the lean sullen apprentice |
| 61-70968-0023.wav | but i wrestled with this fellow and do know that he played unfairly in the second bout | but i wrestled with this fellow and do know that he played unfairly in the second bout |
| 61-70968-0024.wav | spoke the squire losing all patience and it was to you that i gave another purse in consolation | spoke the squire losing all patient and it was to you that i gave another person consolation |
| 61-70968-0025.wav | come to me men here here he raised his voice still louder | come to me men her here he raised his voice still louder |
| 61-70968-0026.wav | the strollers took their part in it with hearty zest now that they had some chance of beating off their foes | the strollers took their part in it with heardy zest now that they had some chance of beating off their foes |
| 61-70968-0027.wav | robin and the little tumbler between them tried to force the squire to stand back and very valiantly did these two comport themselves | robin and the little tumbler between them tried to force the squire to stand back and very valiantly did these two comport themselves |
| 61-70968-0028.wav | the head and chief of the riot the nottingham apprentice with clenched fists threatened montfichet | the head and chief of the riot the nottingham apprenticed with clenched fists threatened montfichet |
| 61-70968-0029.wav | the squire helped to thrust them all in and entered swiftly himself | the squire helped to thrust them all in and entered swiftly himself |
| 61-70968-0030.wav | now be silent on your lives he began but the captured apprentice set up an instant shout | now be silent on your lives he began but the captured apprentice set up an instant shout |
| 61-70968-0031.wav | silence you knave cried montfichet | silence you knave cried montfichet |
| 61-70968-0032.wav | he felt for and found the wizard's black cloth the squire was quite out of breath | he felt fur and found the wizzard's black cloth the squire was quite out of breath |
| 61-70968-0033.wav | thrusting open the proper entrance of the tent robin suddenly rushed forth with his burden with a great shout | thrusting open the proper entrance of the tent robin suddenly rushed forth with his burden with a great shout |
| 61-70968-0034.wav | a montfichet a montfichet gamewell to the rescue | a montfichet a montfichet came well to the rescue |
| 61-70968-0035.wav | taking advantage of this the squire's few men redoubled their efforts and encouraged by robin's and the little stroller's cries fought their way to him | taking advantage of this the squire's few men redoubled their efforts and encouraged by robins and the little strollers cries fought their way to him |
| 61-70968-0036.wav | george montfichet will never forget this day | george montfichet will never forget this day |
| 61-70968-0037.wav | what is your name lording asked the little stroller presently | what is your name lordding asked the little stroller presently |
| 61-70968-0038.wav | robin fitzooth | robin fitzooth |
| 61-70968-0039.wav | and mine is will stuteley shall we be comrades | and mine is will stutley shall we be come rads |
| 61-70968-0040.wav | right willingly for between us we have won the battle answered robin | right willingly for between us we have won the battle answered robin |
| 61-70968-0041.wav | i like you will you are the second will that i have met and liked within two days is there a sign in that | i like you wil you are the second will that i have met in light within two days is there a sign in that |
| 61-70968-0042.wav | montfichet called out for robin to give him an arm | montfichet called out for robin to give him an arm |
| 61-70968-0043.wav | friends said montfichet faintly to the wrestlers bear us escort so far as the sheriff's house | friends said mont fichet faintly to the wrestlers bear us escort so far as the sheriff's house |
| 61-70968-0044.wav | it will not be safe for you to stay here now | it will not be safe for you to stay here now |
| 61-70968-0045.wav | pray follow us with mine and my lord sheriff's men | pray follow us with mine in my lord sheriff's men |
| 61-70968-0046.wav | nottingham castle was reached and admittance was demanded | nottingham castle was reached and admittance was demanded |
| 61-70968-0047.wav | master monceux the sheriff of nottingham was mightily put about when told of the rioting | master monceux the sheriff of nottingham was mightily put about when told of the rioting |
| 61-70968-0048.wav | and henry might return to england at any moment | and henry might return to england at any moment |
| 61-70968-0049.wav | have your will child if the boy also wills it montfichet answered feeling too ill to oppose anything very strongly just then | have your will child if the boy also wilts it montfichet answered feeling too ill to oppose anything very strongly just then |
| 61-70968-0050.wav | he made an effort to hide his condition from them all and robin felt his fingers tighten upon his arm | he made an effort to hide his condition from them all and robin felt his fingers tightened upon his arm |
| 61-70968-0051.wav | beg me a room of the sheriff child quickly | beg me a room of the sheriff child quickly |
| 61-70968-0052.wav | but who is this fellow plucking at your sleeve | but who is this fellow plucking at your steeve |
| 61-70968-0053.wav | he is my esquire excellency returned robin with dignity | he is my esquire excellency returned robin with dignity |
| 61-70968-0054.wav | mistress fitzooth had been carried off by the sheriff's daughter and her maids as soon as they had entered the house so that robin alone had the care of montfichet | mistress fitzoth had been carried off by the sheriff's daughter and her maids as soon as they had entered the house so that robin alone had the care of montfichet |
| 61-70968-0055.wav | robin was glad when at length they were left to their own devices | robin was glad when at length they were left to their own devices |
| 61-70968-0056.wav | the wine did certainly bring back the color to the squire's cheeks | the wine did certainly bring back the color to the squire's cheeks |
| 61-70968-0057.wav | these escapades are not for old gamewell lad his day has come to twilight | these escapades are not for old gamewell lad his day has come to twilight |
| 61-70968-0058.wav | will you forgive me now | will you forgive me now |
| 61-70968-0059.wav | it will be no disappointment to me | itill be no disappointment to me |
| 61-70968-0060.wav | no thanks i am glad to give you such easy happiness | no thanks i am glad to give you such easy happiness |
| 61-70968-0061.wav | you are a worthy leech will presently whispered robin the wine has worked a marvel | you are a worthy leech will presently whispered robin the wine has worked a marvel |
| 61-70968-0062.wav | ay and show you some pretty tricks | i enshow you some pretty tricks |
NeMoOnnxSharp supports text-to-speech with FastSpeech and HiFiGAN.
| Generated | Target |
|---|---|
| generated-61-70968-0000.wav | he began a confused complaint against the wizard who had vanished behind the curtain on the left |
| generated-61-70968-0001.wav | give not so earnest a mind to these mummeries child |
| generated-61-70968-0002.wav | a golden fortune and a happy life |
Exported ONNX file is included in this repository. But if you want to do it yourself, you can use NeMo.
pip install 'git+https://github.com/NVIDIA/NeMo.git#egg=nemo_toolkit[asr]'Then run the script below to export the model as an ONNX file.
import nemo.collections.asr as nemo_asr
quartznet = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="QuartzNet15x5Base-En")
quartznet.export("QuartzNet15x5Base-En.onnx")Most of deep-learning system are composed of pre-processing, model and post-processing. Model code is usually written with deep-learning framework like PyTorch and TensorFlow. Model consumes numeric arrays called tensors and produces tensors. Pre-processing code receives inputs for the system like texts, audio clips, images and converts them into tensors so that deep-learning framework can handle. Post-processing code receives tensors and converts them into the final output forms.
For pre-processing of ASR task, audio data are usually divided into short time frames and converted into log spectrogram, log mel-spectrogram or MFCC. QuartzNet uses 16000Hz sampling rate, 10ms frame, 64 dimention mel-spectrogram. 5 sec audio is divided into 500 frames so it makes a 32-bit float tensor of 64x500 elements. There are a lot of flavors of conversions and they are not well explained in research papers, so you need to read the code carefully so that you make sure that doing the exactly same conversion.
QuartzNet's pre-processing is implemented in nemo_asr.modules.AudioToMelSpectrogramPreprocessor.
You can instantiate a preprocessor with proper parameters from config file
examples/asr/conf/quartznet/quartznet_15x5.yaml.
See NeMoOnnxTest.test_nemo_preprocess() of Python/nemo_onnx_test.py for example.
config = OmegaConf.load(config_file)
preprocessor = nemo_asr.models.EncDecCTCModel.from_config_dict(config.model.preprocessor)
preprocessor.eval()
audio_signal, audio_signal_length = preprocessor(
input_signal=input_signal,
length=input_signal_length)nemo_asr.modules.AudioToMelSpectrogramPreprocessor is a complicated class so that researchers
can try various configurations. Essentially it does the following things for QuartzNet.
- Pre-emphasis (High band filter so emphasize high-freq)
- Get frames with Hann window
- Short-time Fourier fransform
- Convert complex to squared magnitude
- Convert to mel-spectrogram
- Convert to log mel-spectrogram
- Normalize per feature (i.e. normalize using mean and std along the time per feature)
in C# code, NeMoOnnxSharp.AudioToMelSpectrogramPreprocessor does the same conversion except
input audio format is 16-bit integers, not 32-bit floats. Torch implementation uses vectorization
for efficient parallelization, but C# implementation computes frame by frame for efficient memory
usage.
Post-processing is simpler than pre-processing. The model outputs log probabilities for each time frame and labels. The label is raw English text in case of QuartzNet. Post-processing does the following things,
- gets the most probable labels
- decode into characters
- then decode CTC.
Decoding CTC is eliminating duplicated characters as one English characters may span more than one time frame.
See NeMoOnnxTest.postprocess() for Python implementation.
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