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I have exported the pre-trained SpeakerNet model into TorchScript. With the same data input, I am calling this exported model and its original non-exported model but the results are vastly different.
**Steps/Code to reproduce bug**
```
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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Update radtts' infer path.
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from checkpoint, the shape in current model is torch.Size([512]).
size mismatch for encod... | {
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} | There was a bug which hits errors below. This PR fixed the error by importing `jieba` correctly.
```
21 Error executing job with overrides: ['++dataloader_params.num_workers=48', 'manifest_filepath=/manifest/train_manifest.json', 'sup_data_path=/sup_data']
22 Traceback (most recent call last):
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- updating biased gelu
- minor updates to mimic nemo nmt
# Before your PR is "Ready for review"
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# What does this PR do ?
Update torchaudio dependency in tutorials to avoid issue with torch.stft signature.
**Collection**: [ASR]
# Changelog
- Update tutorial dependency for torchaudio
# Before your PR is "Ready for review"
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# What does this PR do ?
Update torchaudio dependency in tutorials to avoid issue with torch.stft signature.
**Collection**: [ASR]
# Changelog
- Update tutorial dependency for torchaudio
# Before your PR is "Ready for review"
**Pre checks**:
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Allows setting lr decay steps through config that could be different from the trainer.max_steps
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage exa... | {
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In a multi-node setup, DALI pipelines' fail because data is only visible on one node.
**Steps/Code to reproduce bug**
1. Download the data on the main node (rank 0), place it in `/scratch/audio-data`
2. Launch training
3. DALI raises error on other nodes :
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} | # What does this PR do ?
Ports the Riva Mel Cepstral Distortion - Dynamic Time Warping notebook (nvidia-riva/tutorials#96) to NeMo.
HTML version here for ease of viewing:
https://drive.google.com/file/d/1E7bk95HQXZE_LyCfryr1r9LEKPzm8J9D/view?usp=sharing
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} | There was a bug which hits errors below. This PR fixed the error by importing `jieba` correctly.
```
21 Error executing job with overrides: ['++dataloader_params.num_workers=48', 'manifest_filepath=/manifest/train_manifest.json', 'sup_data_path=/sup_data']
22 Traceback (most recent call last):
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# What does this PR do ?
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# What does this PR do ?
adding back create_tarred_dataset.py for duplex TN
**Collection**: nemol_nlp
# Changelog
- adding back create_tarred_dataset.py for duplex TN
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# What does this PR do ?
Adds ASR example for training Esperanto Conformer-CTC-large model.
**Collection**: ASR
# Changelog
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Mask/length vector was ignored in bottleneck layer before.
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TTS
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# Changelog
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Fix groundtruth label mapping in `batch_inference` in `label_models.py` and add test.
**Collection**: ASR
# Changelog
- The groundtruth label `batch_inference` was mapped wrongly. Fixed it
- Add test for `batch_inference`
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- updating biased gelu
- minor updates to mimic nemo nmt
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and foll... | {
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# What does this PR do ?
Enable a test which was disabled in #5615.
**Collection**: ASR tests
# Changelog
- Enabled the test using a single worker
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor g... | {
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} | Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
# What does this PR do ?
Second version of #5748, applied to r1.15.0 this time.
Tacotron2's `list_available_models()` was still pointing to a previous version, so it would load that instead of the newest one.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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# What does this PR do ?
This PR fixes a bug in `forward` of `ConformerEncoder` when `length is None`
**Collection**: ASR
# Changelog
- Fixed initialization of `length` with `new_full`
# Usage
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```
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} | Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
# What does this PR do ?
Second version of #5748, applied to r1.15.0 this time.
Tacotron2's `list_available_models()` was still pointing to a previous version, so it would load that instead of the newest one.
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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```
Traceback (most recent call last):
File "tacotron2.py", line 44, in <module>
main() # noqa pylint: disable=no-value-for-parameter
File "/usr/local/lib/python3.8/dist-packages/nemo/core/config/hydra_runner.py", line 98, in wrapper
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} | # What does this PR do ?
Fixes case where we need to also delete the EMA checkpoints from previous runs.
**Collection**: Common
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
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} | # What does this PR do ?
Adds simple documentation for EMA. Also fixes the docs on main due to an incorrect import in the EMA class.
**Collection**: Common
# Changelog
- Add EMA documentation
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidel... | {
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# What does this PR do ?
Adds ASR example for training Esperanto Conformer-CTC-large model.
**Collection**: ASR
# Changelog
- Adds Esperanto example to docs/source/asr/examples/
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GPU memory usage increases over the time

**Steps/Code to reproduce bug**
You can reproduce this bug using this notebook [Colab Notebook](https... | {
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When running the first cell in tutorials/00_NeMo_Primer.ipynb on Google Colab, I get the following errors:
```
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
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} | # What does this PR do ?
```
1. refine `GermanCharsTokenizer` to support only graphemes as inputs by removing sentence-level phoneme representation;
2. refine `GermanCharsTokenizer` to preserve mixed cases from the original input graphemes;
3. add a new Thorsten's 22.10 dataset;
4. revise the thorsten's voice neut... | {
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} | # What does this PR do ?
This PR sets the stream position to 0 to use pydub as fallback if SoundFile fails to read an audio file.
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# What does this PR do ?
Exposes a method `log_prob()` to get the conditional log prob `p(y|x)` for enc-dec models.
**Collection**: NLP
# Changelog
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adds explicit random seed init for all prompt learning and adapter learning based methods.
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# What does this PR do ?
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# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
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All files present in manifest contains silence, aborting next steps.
When I run the diarization with an audio file which contains no speech, it terminates the program and throws an error
**Steps/Code to reproduce bug**
Run diarization on any audio wav file which contains no speech/audio
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} | Signed-off-by: Ryan <rlangman@nvidia.com>
# What does this PR do ?
Update FastPitch Spanish config from 1.14.0 to 1.15.0, which contains IPA support and improvements from speaker level pitch normalization.
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} | Signed-off-by: ekmb <ebakhturina@nvidia.com>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | Fixed a minor typo in primer tutorial.
Signed-off-by: schaltung <amoreno@gmail.com>
# What does this PR do ?
Fixed a minor typo: "White" <-- "While".
**Collection**: None
# Changelog
- Single-word typo fix in the text markup of the jupyter notebook.
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} | Signed-off-by: Patrick Simianer <patrick@lilt.com>
# What does this PR do ?
SentencePiece models can be generated in a number of different ways in terms of handling whitespace. An important parameter is `normalization_rule_name`: Setting this to "identity" will cause newline characters `\n` to remain in the strin... | {
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I am working on pyctcdecode integration with Nemo ASR models. However, there is a mismatch in the dimensions of the log probabilities matrix output by Nemo ASR transcribe function and the length of vocabulary size. Because of this I am unable to proceed further. Any suggestions, will be very helpful.
asr_mo... | {
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} | Signed-off-by: Patrick Simianer <patrick@lilt.com>
# What does this PR do ?
As the title says this is a small fix: The output dir was already added to `encoder_tokenizer_model` on line 789 in the same file.
**Collection**: NLP
# Changelog
- Bugfix for creating shared sentencepiece tokenizer.
# Usage
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Allows DLLogger to work with types of non-builtin containers.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
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Adds ASR example for training Esperanto Conformer-CTC-large model.
**Collection**: ASR
# Changelog
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Opening to show provenance, closing immediately.
**Collection**: [Note which collection this PR will affect]
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Sometimes in CausalConv1D.update_cache input_x_keep ends up having no frames (ie size of [M, N, 0]). Make sure that the we have at least one frame.
**Collection**: asr
# Changelog
- Add specific line by line info of high level changes in this PR.
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} | Signed-off-by: Patrick Simianer <patrick@lilt.com>
# What does this PR do ?
In https://github.com/NVIDIA/NeMo/pull/5052 I forgot to add the `keep_initializers_as_inputs` arg to the `_export` method.
**Collection**: core
# Changelog
- Simple fix.
# Usage
* See https://github.com/NVIDIA/NeMo/pull/5052
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} | Signed-off-by: Jocelyn Huang <jocelynh@nvidia.com>
# What does this PR do ?
Updates the remaining call to `torch.stft()` to use `return_complex=True` due to the deprecation of the `return_complex=False` option.
I've done a quick grep through the NeMo repo, this should be the only other place where `torch.stft(... | {
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# What does this PR do ?
Fixes errors due to deprecation of `return_complex=False` in `torch.stft()` in version 1.14.
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} | # What does this PR do ?
A tool to thoroughly evaluate an ASR model.
**Collection**: ASR
# Changelog
- Simple step to evaluate a model in all three modes currently supported by NeMo: offline, chunked, and offline_by_chunked.
- On-the-fly data augmentation (silence, noise, etc.,) for ASR robustness evaluatio... | {
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When using `shard_strategy='scatter'` this PR loads only a subset of lines from the manifest file.
This may reduce the time to process a manifest file by an order of magnitude.
Opening as a draft to get feedback if there are any underlying assumptions which may be broken by this change.
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In `nemo/collections/nlp/modules/common/transformer/transformer_modules.py` a hard coded `padding_idx` is set (value 0):
https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/nlp/modules/common/transformer/transformer_modules.py#L112
According to the [documentation](https://pytorch.org/d... | {
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} | # What does this PR do ?
Doesn't print a warning when max_steps == -1 and val monitoring. For example, when we just provide max_epochs we don't want to see that warning.
```
[NeMo W 2023-01-03 15:47:31 exp_manager:988] The checkpoint callback was told to monitor a validation value and trainer's max_steps was set... | {
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} | # What does this PR do ?
Closes #5631
**Collection**: Common
# Changelog
- Delete EMA checkpoints when normal checkpoints are deleted.
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBU... | {
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I am trying to p-tune a megatron_gpt_345m model using the steps and the notebook mentioned in the NeMo repo [here](https://github.com/NVIDIA/NeMo/blob/main/tutorials/nlp/Multitask_Prompt_and_PTuning.ipynb).
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# What does this PR do ?
Fix torchmetrics version, as latest version has issues with pytorch Dataloader loading time.
**Collection**: ASR
# Changelog
- pin torchmetrics version to 0.10.3
- revert accuracy API to 0.10.3 from 0.11.0
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
Adds args that can configure whether to add bos/eos to the encoder and to replace bos with the pad token for HF converted T5 checkpoints.
**Collection**: NLP
# Changelog
- Add specific line by line info of high lev... | {
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} | null | null | null | Hi. I have trained univnet model and I faced 2 issues.
1. model has memory leak
2. high response time
I attempt to convert model to onnx but I got this error:
`torch.onnx.errors.SymbolicValueError: Unsupported: ONNX export of operator Unfold, input size not accessible. Please feel free to request support or sub... | {
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As with #5715 creating to show provenance + close
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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As with #5715 creating to show provenance + close
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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} | # What does this PR do ?
I've just seen that the text processing module has moved; this is messy, includes pieces that ought to be in other places, and just generally needs a cleanup. The main point of making the pull request is to show that I didn't just pluck this stuff from thin air.
**Collection**: [Note whic... | {
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} | null | null | null | Hi, Nemo Developer:
Happy new year first.
**Describe the bug**
I am trying to have a trial on voice clone. So I am trying to finetune a TTS model based on a test person's voice clips. Have successfully realized this using that FastPitch notebook. I am stuck on Tacotron2 finetune trial.
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} | null | null | null | Hi Nemo developers,
**Describe the bug**
I tried to run tutorials/speaker_tasks/ASR_with_SpeakerDiarization.ipynb with chinese data. When I changed the model from `cfg.diarizer.asr.model_path = 'stt_en_conformer_ctc_large'` to `stt_zh_citrinet_1024_gamma_0_25`, the model could not be found correctly because of the ... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
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I'm new on this field and I was going to follow [this tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/asr/ASR_with_NeMo.ipynb) step by step.
I just made new environment using conda on my linux server and stuck with issue below.
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According to the article by nvidia published [here](https://developer.nvidia.com/blog/deploying-a-1-3b-gpt-3-model-with-nvidia-nemo-megatron/), mentions the use of a couple of docker images
```
nvcr.io/ea-bignlp/bignlp-training:22.08.01-py3
nvcr.io/ea-bignlp/bignlp-inference:22.08-py3
```
... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example below
```python
# Add a cod... | {
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} | Bumps [setuptools](https://github.com/pypa/setuptools) from 59.5.0 to 65.5.1.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pypa/setuptools/releases">setuptools's releases</a>.</em></p>
<blockquote>
<h2>v65.5.1</h2>
<p>No release notes provided.</p>
<h2>v65.5.0</h2>
<p>No re... | {
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} | null | null | null | Hello developers.
I have a lot of useful data and would like to retrieve embeddings and get diarization
I thought to use a multiprocessing module to speed up the process. [This module](https://docs.python.org/3/library/multiprocessing.html)
But I failed. If I make a processing pool and add tasks after a while pr... | {
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} | null | null | null | **Describe the bug**
I am training stt_en_conformer_ctc_large on my custom datset+librispeech dev and test splits. Currently, half of epoch 0 has completed but the best value of WER is 1 and logs show epty in predicted. I am a beginner and do not understand the ASR process fully so it must be something that I am doi... | {
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} | null | null | null | **The outputs form the megatron generations has no scoring method**
For megatron models when `model.generate() `function is called, results returned doesn't contain any scores which could give the confidence of generation.
**Here's a code snippet**
```
response = model.generate(inputs=test_examples, length_pa... | {
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} | null | null | null | It is working on CPU but not working on my GPU. I tried Cuda 11.3, 11.8, 12.0 and Python 3.8, 3.9. It did not work. I got same error each time.
This is how i run the code;
`python eval_beamsearch_ngram.py --nemo_model_file /media/mesut/Depo1/models/49/49.nemo --kenlm_model_file /media/mesut/Depo1/models/tbmmV8/final... | {
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Whenever I try to run the file for tokenization I get the above error.
**Steps/Code to reproduce bug**
Run the command
```
python ./scripts/tokenizers/process_asr_text_tokenizer.py --manifest=../code/manifests/train_clean_5.json --data_root=tokenized --vocab_size=2048 tokenizer=bpe --log... | {
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} | null | null | null | **Describe the bug**
调用stt_zh_citrinet_512模型进行音频转文字操作
**Steps/Code to reproduce bug**
asr_model = nemo_asr.models.EncDecCTCModel.from_pretrained(model_name="stt_zh_citrinet_512")
mandarin_text=asr_model.transcribe(paths2audio_files=["./test.wav"])
print(mandarin_text)**
**Expected behavior**
输出音频文本内容
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# What does this PR do ?
temporary disable speaker recognision CI test due to long duration (~20M)
**Collection**: ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
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I was trying to run "tutorials/nlp/Multitask_Prompt_and_PTuning.ipynb". But I got the following error for downloading the "financial_phrase_bank" dataset.
https://www.researchgate.net/profile/Pekka_Malo/publication/251231364_FinancialPhraseBank-v1.0/data/0c96051eee4fb1d56e000000/FinancialPhra... | {
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
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} | # What does this PR do ?
This PR adds a multichannel input, multichannel output mask-based dereverberation algorithm based on weighted prediction error (WPE).
**Collection**: ASR
# Changelog
- New: Dereverberation algorithm implemented in `MaskBasedDereverbWPE`
- Added unit tests for handling of convolution... | {
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} | # What does this PR do ?
The original code had a bug because of which whenever at least one batch element predicted non-blank symbol, all blank elements would duplicate the last prediction in their `.alignments` variable.
Additionally, I've unified `_greedy_decode_blank_as_pad` and `_greedy_decode_masked` into a ... | {
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# What does this PR do ?
Fixes missing torchelastic import
**Collection**: NLP
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Add a one line overview of what this PR aims to accomplish.
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In the constructor of the class `EncDecRNNTModel`, the PTL trainer is a kwarg with default value `null`. However, in the `self.training_step` method, the method `self.log_dict` is called (line 725 in file `collections/asr/models/rnnt_models.py`), which raises an error if no PTL trainer object is... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/5687 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/5687/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/5687/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/5687/events | https://github.com/NVIDIA/NeMo/issues/5687 | 1,505,874,693 | I_kwDOC_bI7s5ZwdMF | 5,687 | Using nemo LM in other nemo training | {
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} | null | null | null | I want to use our own training nemo LM in other nemo training and I found only this reference [https://github.com/NVIDIA/NeMo/blob/4cd9b3449cbfedc671348fbabbe8e3a55fbd659d/examples/nlp/text_classification/conf/ptune_text_classification_config.yaml](url) that have nemo_path in language model config
so I follow tha... | {
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Is it possible to use Hugging face XLSR pretrained model with Nemo? Thanks. Pls suggest @titu1994 @jbalam-nv | {
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