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* fix estimation of num of speakers when embs size < 6
* fix torch linalg import error when version <1.9 | {
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Edited:
```
def text_to_audio(text):
parsed = spectrogram_generator.parse(text)
spectrogram = spectrogram_generator.generate_spectrogram(tokens=parsed)
audio = vocoder.convert_spectrogram_to_audio(spec=sp... | {
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.ejrvs file can be made from .nemo model
But , to build .jmir file for Machine Translation models(pretrained), what would be **pipeline** then,
jarvis-buil... | {
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When attempting to set the training data information for ASR training I am getting an error from omegaconf
AttributeError: 'dict' object has no attribute '_get_node_flag'
**Steps/Code to reproduce bug**
This is a minimal way to reproduce the bug
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https://api.github.com/repos/NVIDIA/NeMo/issues/2555 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2555/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2555/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2555/events | https://github.com/NVIDIA/NeMo/issues/2555 | 952,972,834 | MDU6SXNzdWU5NTI5NzI4MzQ= | 2,555 | Bug in `tutorials/speaker_recognition/ASR_with_SpeakerDiarization.ipynb` | {
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} | null | null | null | **Describe the bug**
A clear and concise description of what the bug is.

**Steps/Code to reproduce bug**
Please list *minimal* steps or code snippet for us to be able to reproduce the bug.
A hel... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2554 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2554/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2554/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2554/events | https://github.com/NVIDIA/NeMo/issues/2554 | 952,504,280 | MDU6SXNzdWU5NTI1MDQyODA= | 2,554 | Save (.nemo) and restore punctuation and capitalization models | {
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I'm following this tutorial to train a punctuation and capitalization model: https://github.com/NVIDIA/NeMo/blob/stable/tutorials/nlp/Punctuation_and_Capitalization.ipynb
The model is initialized with bert-base-uncased. I use `model.save_to(save_path="mymodel.nemo")` to export the trained model and use `Punct... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2553 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2553/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2553/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2553/events | https://github.com/NVIDIA/NeMo/issues/2553 | 952,315,831 | MDU6SXNzdWU5NTIzMTU4MzE= | 2,553 | Nvidia NEMO / ASR model to be trained on VCTK data | {
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`
joepareti54@MSI /cygdrive/f/x/finance-20... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2552 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2552/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2552/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2552/events | https://github.com/NVIDIA/NeMo/issues/2552 | 952,091,960 | MDU6SXNzdWU5NTIwOTE5NjA= | 2,552 | ASR tutorial based on Nemo: cannot import name 'SCMode' from 'omegaconf' | {
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} | null | null | null | This [notebook ](https://github.com/NVIDIA/NeMo/blob/v1.0.2/tutorials/asr/01_ASR_with_NeMo.ipynb)under Ubuntu fails to `import nemo.collections.asr as nemo_asr`
Here is the exception report:
`ImportError: cannot import name 'SCMode' from 'omegaconf' (/home/joepareti54/anaconda3/lib/python3.8/site-packages/omegacon... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2551 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2551/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2551/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2551/events | https://github.com/NVIDIA/NeMo/pull/2551 | 951,933,038 | MDExOlB1bGxSZXF1ZXN0Njk2MjQwMTky | 2,551 | Add Github Actions CI for CPU tests and ITN tests (nightly) | {
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} | # Changelog
- Add Github Actions support to run CPU tests
- Add Github Actions support to run ITN tests for branches/PRs with name `itn` in them
- Run ITN tests nightly otherwise.
- Update Numba CPU tests to perform CPU tests even if no GPU is available | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2550 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2550/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2550/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2550/events | https://github.com/NVIDIA/NeMo/pull/2550 | 951,897,164 | MDExOlB1bGxSZXF1ZXN0Njk2MjEwOTM2 | 2,550 | add seconds to time for english tn | {
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} | Signed-off-by: Yang Zhang <yangzhang@nvidia.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2549 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2549/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2549/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2549/events | https://github.com/NVIDIA/NeMo/pull/2549 | 951,810,640 | MDExOlB1bGxSZXF1ZXN0Njk2MTM4MjM4 | 2,549 | Fix branch for ASR notebooks | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2548 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2548/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2548/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2548/events | https://github.com/NVIDIA/NeMo/pull/2548 | 951,786,688 | MDExOlB1bGxSZXF1ZXN0Njk2MTE3ODE5 | 2,548 | Update branch for ASR finetuning notebook | {
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- Update notebook version | {
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With a supposed Colab update yesterday, I have been having the following issue during training.
I say supposed update because I noticed changes in the Colab interface, but I didn't find any version talking about updating
I didn't make changes to the training process, the processes I used worked and didn't giv... | {
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Closes #2545 | {
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`NeMo/examples/asr/vad_infer.py` script fails with `IndexError` if option `--dont_auto_split` is not set and at least 1 `.wav` file is long enough so that `nemo.collections.asr.parts.utils.vad_utils.prepare_manifest()` function split the `.wav` file.
**Steps/Code to reproduce bug**
```
mk... | {
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When trying to prepare data for ASR neural LM training, using the script `scripts/asr_language_modeling/neural_rescorer/create_tarred_transformer_lm_dataset.py` getting the following error (and a few preceding log lines):
```
[Parallel(n_jobs=-2)]: Done 68 out of 128 | elapsed: 10.6s remaini... | {
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On the Speech Data Explorer, on the "Samples" page, using an `int` or a `float` value to filter text by results in the Flask app throwing a TypeError such as:
```
10.2.48.115 - - [23/Jul/2021 14:40:13] "POST /_dash-update-component HTTP/1.1" 500 -
[2021-07-23 14:44:01,300] ERROR in app: Exce... | {
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1. Fixes typos
2. Fixes MeCab import issues by uninstalling and reinstalling sacrebleu[ja] | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2540 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2540/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2540/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2540/events | https://github.com/NVIDIA/NeMo/issues/2540 | 950,859,088 | MDU6SXNzdWU5NTA4NTkwODg= | 2,540 | Transcript test during training | {
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Do you still support version 0.10.1? I have a question about. I have been training a dataset in Portuguese in this version and in the results folder I see several checkpoints (decoder and encoder) being generated during training, specifically every 1000 steps.
Can I count on them to take my transcription tests?... | {
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After fine tuning, if I want to supplement the dataset with a little more audio, should I restart training or can I restore the epoch where I left off? | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2538 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2538/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2538/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2538/events | https://github.com/NVIDIA/NeMo/pull/2538 | 950,782,572 | MDExOlB1bGxSZXF1ZXN0Njk1Mjc3Njk1 | 2,538 | Update audio_preprocessing.py | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2537 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2537/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2537/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2537/events | https://github.com/NVIDIA/NeMo/pull/2537 | 950,642,006 | MDExOlB1bGxSZXF1ZXN0Njk1MTU4MjA5 | 2,537 | Update requirements.txt to include tqdm and pandas as deps for SDE and plotly | {
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} | This PR adds `tqdm` as a dependency for the Speech Dataset Explorer; it fails as below without it.
```
✔ ~/NeMo/tools/speech_data_explorer [main|✔]
23:02 $ python3 data_explorer.py
Traceback (most recent call last):
File "data_explorer.py", line 37, in <module>
import tqdm
ModuleNotFoundError: No modu... | {
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The test and evaluation sets are fixed: test(3.53h) and evaluation(5.45h). I can't use all the train data because of out of memory error. This is the type of error that I'm getting:
`RuntimeError: CUDA o... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2530 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2530/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2530/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2530/events | https://github.com/NVIDIA/NeMo/pull/2530 | 949,947,230 | MDExOlB1bGxSZXF1ZXN0Njk0NTY4Mjc3 | 2,530 | Fix the support for char-level models in eval_beamsearch_ngram. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2529 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2529/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2529/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2529/events | https://github.com/NVIDIA/NeMo/pull/2529 | 949,938,714 | MDExOlB1bGxSZXF1ZXN0Njk0NTYxMzg4 | 2,529 | Change Jarvis to Riva in export.rst | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2526 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2526/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2526/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2526/events | https://github.com/NVIDIA/NeMo/issues/2526 | 949,823,162 | MDU6SXNzdWU5NDk4MjMxNjI= | 2,526 | Error when running eval_beamsearch_ngram.py | {
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I started looking into LM with Nemo. I was able to create a kenlm model using train_kenlm.py script.
Then I tried to run eval_beamsearch_ngram.py using a fine-tuned model we trained, kenlm model, and test manifest, but got error.
Could you tell us what to do to fix this? By the way there is no log file created,... | {
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I'm trying to train conformer_ctc_medium model from scratch. I use the config file from the pretrained model stt_en_conformer_ctc_medium_ls and only change the manifest_filepath and batch_size configuraion (I changed the batch_size to 16 to fit my GPU).
After training 42 epoches, the WER on librispeech val... | {
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ERROR: Command errored out with exit status 1:
command: /usr/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-J5oGxi/nemo-toolkit/setup.py'"'"'; __file__='"'"'/tmp/pip-install-J5oGxi/nemo-toolkit/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__fil... | {
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1. Fixes typos in the NMT data processing notebook.
2. Fixes an issue where MeCab could not be imported because pip install nemo[all] does not install sacrebleu[ja]. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2522 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2522/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2522/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2522/events | https://github.com/NVIDIA/NeMo/pull/2522 | 949,222,332 | MDExOlB1bGxSZXF1ZXN0NjkzOTYyMTYy | 2,522 | Fix time stamps | {
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* introduce segmentation module
* support multi-batch inference for speaker embedding extraction | {
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} | -added support for addresses
-added support for telephone numbers with words
-added support for url
-cardinal numbers that consist of 5 and more digits long will now be normalized digit by digit
-SH tests and docker setup updated to work for different languages
-fix for fractions in SH | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2515 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2515/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2515/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2515/events | https://github.com/NVIDIA/NeMo/pull/2515 | 948,878,135 | MDExOlB1bGxSZXF1ZXN0NjkzNjU0Nzc5 | 2,515 | Update Dockerfile numba install for 21.06 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2511 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2511/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2511/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2511/events | https://github.com/NVIDIA/NeMo/issues/2511 | 948,290,398 | MDU6SXNzdWU5NDgyOTAzOTg= | 2,511 | Not able to import NeMo on macOS (ModuleNotFoundError: No module named 'nemo') | {
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1. `pip3 install nemo_toolkit`
2. `pip3 install git+https://github.com/NVIDIA/NeMo.git `
3. Running `git clone git+https://github.com/NVIDIA/NeMo.git ` and then `cd NeMo` and finally `pip3 install .`
The above mentioned commands are successfully executed without any errors... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2510 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2510/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2510/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2510/events | https://github.com/NVIDIA/NeMo/pull/2510 | 948,195,475 | MDExOlB1bGxSZXF1ZXN0NjkzMDY5ODk3 | 2,510 | Enable RNNT ONNX Export | {
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} | # Changelog
- Enable RNNT Export to ONNX (No torchscript yet)
- Add inference script for onnx exported rnnt models
- Update neural types for export
- Refactor Exportable to be less monolithic
- Add `ExportableEncDecJointModel` that is subclass of Exportable | {
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I've trained a Neural Machine Translation model using NeMo. Is it possible to use Multiple GPU's for model inference?
Thanks | {
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} | This PR updates the `ctc-segmentation` Python package used for the CTC segmentation tool from version 1.1.0 to 1.4.0. The update provides a bugfix, as well as sane defaults, which results in better alignments.
I would also recommend the latest version, however, the interface changed at two points:
1. As not every... | {
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Does NeMo provide model check pointing for Machine Translation Models? That way, a saved checkpoint can be restored and be used for training.
Thanks! | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2495 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2495/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2495/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2495/events | https://github.com/NVIDIA/NeMo/issues/2495 | 946,345,904 | MDU6SXNzdWU5NDYzNDU5MDQ= | 2,495 | Version comparison 1.0.2 x 0.10.1 | {
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I've been doing transcription training for the Portuguese language for a few months and so far I'm getting great results. But I came across a question when performing a comparison of results from version 0.10.1 and 1.0.2 with the same dataset.
For this comparison I respectively used the scripts:
**(Version 0.10... | {
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https://github.com/NVIDIA/NeMo/blob/main/tutorials/AudioTranslationSample.ipynb
It has 3 modules speech to text, translation and text to speech. But have seen it uses the IPython audio function for converting the text to audio. I was wondering is there any native modul... | {
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} | null | null | null | Hey Tensors,
I have a Quartz model trained on NeMO and I am bit confused on some for the things-
1. When nemo model is converted to enemo, it first converts to [onnx](https://github.com/NVIDIA/NeMo/blob/main/scripts/export/convasr_to_enemo.py#L60). But there are 3 onnx model generated. why?
2. While enemo to jmir... | {
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Can you suggest any other alternative so tha... | {
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SH tests all passing | {
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Signed-off-by: Yang Zhang <yangzhang@nvidia.com> | {
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[NeMo I 2021-07-14 13:41:17 bert_module:54] Restoring weights from /data/cmrc2018/bert-base-chinese/pytorch_model.bin
Traceback (most recent call last):
File "/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py", line 198, in run_and_r... | {
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Pydub uses millisecond indexing. Fix to remove incorrect multiplication with sampling rate at ... | {
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} | `imp` module has been deprecated since 3.4. Since we do not support older versions of python, we should use supported functions.
Unfortunately, there is no direct equivalent to `load_source()` function. While `exec_module` loads necessary objects into `package_info` object, it's not possible to use `package_info` i... | {
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I have converted the Nemo-based Citrinet(for ASR) Model to ONNX then to TRT, but I am stuck at writing an inference code for the TRT model.
Having said that, while I am doing an Inference in Nemo, there is a single line of code for Inference. So, I am not sure about the TRT inference for the Conv... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2477 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2477/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2477/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2477/events | https://github.com/NVIDIA/NeMo/pull/2477 | 943,888,505 | MDExOlB1bGxSZXF1ZXN0Njg5NDU0MTEy | 2,477 | refactor text processing ONly code to allow other languages | {
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} | refactored text processing library to extend to other languages
updated docs and tutorial
Signed-off-by: Yang Zhang <yangzhang@nvidia.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2473 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2473/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2473/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2473/events | https://github.com/NVIDIA/NeMo/issues/2473 | 943,421,421 | MDU6SXNzdWU5NDM0MjE0MjE= | 2,473 | import nemo.collections.asr as nemo_asr generates an error? | {
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} | null | null | null | I tried to execute the tutorial: [](https://github.com/NVIDIA/NeMo/blob/v1.0.2/tutorials/speaker_recognition/Speaker_Recognition_Verification.ipynb)
Unfortunately, the line `import nemo.collections.asr as nemo_asr` is not working and generates an error like:
```
---------------------------------------------------... | {
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I wanted to notify you about my speech dataset handling tool [corcua](https://gitlab.com/Jaco-Assistant/corcua). The task it solves is loading datasets from different formats and converting them to any framework-customized format we can use for training STT networks. It was built with the goal of making the addi... | {
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import torchaudio
from nemo.collections.tts.models.base import Vocoder
audio, sample_rate = torchaudio.load(audio_path) # sample_rate = 22050
vocoder = Vocoder.from_pretrained('tts_melgan')
audio_len = torch.tensor(audio.size(1)/22050).view(1,1)
gen_mel, _ = vocoder.audio_to_melspec_precessor(audio.... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2468 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2468/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2468/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2468/events | https://github.com/NVIDIA/NeMo/pull/2468 | 942,426,718 | MDExOlB1bGxSZXF1ZXN0Njg4MTU3NTU0 | 2,468 | Attentionpooling ecapa | {
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} | * Adds new modified ecapa ecoder for better speaker embeddings
* adds attention pooling decoder
* adds TAP pooling
* tests | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2467 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2467/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2467/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2467/events | https://github.com/NVIDIA/NeMo/pull/2467 | 942,365,196 | MDExOlB1bGxSZXF1ZXN0Njg4MTA0MTQ3 | 2,467 | NMT data preprocessing and cleaning notebook | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2466 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2466/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2466/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2466/events | https://github.com/NVIDIA/NeMo/pull/2466 | 942,321,623 | MDExOlB1bGxSZXF1ZXN0Njg4MDY2NDcz | 2,466 | Add ignore_id/pad_id for classification Acc and sCELoss for seq of label models | {
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} | - [x] Add `pad_id` for `SmoothedCrossEntropyLoss` to ignore label=pad_id in labels. In most cases pad_id is max_label+1.
Handel general cases, and special case that has padding label e.g. 5, but the model output of shape pad_id, e.g. [0,1,2,3,4]
- [x] Add `ignore_id` for `TopKClassificationAccuracy` to Ignore label=i... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2465 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2465/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2465/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2465/events | https://github.com/NVIDIA/NeMo/pull/2465 | 942,299,928 | MDExOlB1bGxSZXF1ZXN0Njg4MDQ3NjQy | 2,465 | minor updates | {
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} | - Added fasttext to the NLP requirements
- A quick fix for the fasttext warning messages:
`Warning : 'load_model' does not return WordVectorModel or SupervisedModel any more, but a 'FastText' object which is very similar.` | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2464 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2464/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2464/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2464/events | https://github.com/NVIDIA/NeMo/issues/2464 | 942,297,272 | MDU6SXNzdWU5NDIyOTcyNzI= | 2,464 | import nemo.collections.asr fails | {
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`import nemo.collections.asr` fails, producing the following error:
```$ python import_test.py
[NeMo W 2021-07-12 13:38:25 optimizers:47] Apex was not found. Using the lamb optimizer will error out.
[NeMo W 2021-07-12 13:38:36 optimizers:47] Apex was not found. Using the lamb optimizer wil... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2463 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2463/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2463/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2463/events | https://github.com/NVIDIA/NeMo/issues/2463 | 942,098,607 | MDU6SXNzdWU5NDIwOTg2MDc= | 2,463 | [Question] How can I get ASR timestamps? | {
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It's important for my experiments, thanks in advance. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2462 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2462/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2462/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2462/events | https://github.com/NVIDIA/NeMo/issues/2462 | 941,866,816 | MDU6SXNzdWU5NDE4NjY4MTY= | 2,462 | Test audio samples for transcribe | {
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I could not access the files in https://nemo-public.s3.us-east-2.amazonaws.com
Link for Russian text is
Get example from: https://nemo-public.s3.us-east-2.am... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2461 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2461/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2461/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2461/events | https://github.com/NVIDIA/NeMo/pull/2461 | 941,842,152 | MDExOlB1bGxSZXF1ZXN0Njg3NjU1MTc2 | 2,461 | VAD negative offset fix | {
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} | Similar to https://github.com/NVIDIA/NeMo/pull/1466, fix negative offsets in manifests outputted by utils_vad.
Signed-off-by: roman-vygon <roman.vygon@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2460 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2460/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2460/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2460/events | https://github.com/NVIDIA/NeMo/pull/2460 | 941,809,667 | MDExOlB1bGxSZXF1ZXN0Njg3NjI3NzI2 | 2,460 | vad_utils negative offset fix | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2459 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2459/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2459/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2459/events | https://github.com/NVIDIA/NeMo/issues/2459 | 941,782,872 | MDU6SXNzdWU5NDE3ODI4NzI= | 2,459 | Speaker diarization example produces negative offsets | {
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Using [speaker_diarize.py](https://github.com/NVIDIA/NeMo/blob/main/examples/speaker_recognition/speaker_diarize.py ) results in a negative offset for a file in a manifest, which leads to an error in dataloader:
```
File "speaker_diarize.py", line 45, in main
sd_model.diarize()
Fil... | {
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"speech_to_text_bpe.py"(ASR example) with ddp (8-gpus) failed to run.
It produced a "RuntimeError: CUDA error: all CUDA-capable devices are busy or unavailable"
**Steps/Code to reproduce bug**
After generating the manifest for LibriSpeech dataset and tokenization, I ran the following scr... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2457 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2457/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2457/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2457/events | https://github.com/NVIDIA/NeMo/pull/2457 | 941,087,125 | MDExOlB1bGxSZXF1ZXN0Njg3MDU3NTcx | 2,457 | Update audio translation sample notebook with newer models | {
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} | Update QuartzNet with newer better speech recognition model _Citrinet Mandarin_.
Update TTS models to Fastpitch and HiFiGan
Signed-off-by: fayejf <fayejf07@gmail.com> | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2456 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2456/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2456/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2456/events | https://github.com/NVIDIA/NeMo/pull/2456 | 940,748,343 | MDExOlB1bGxSZXF1ZXN0Njg2Nzc0NTU4 | 2,456 | Make parallel version of ConvASREncoder | {
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} | The change introduces an encoder that can stack and execute several similar Jasper blocks side by side.
This implementation can be used to define and train CarneliNet.
Underlying ParallelBlock supports tower dropout to train models that can be reconfigured during inference time.
# Usage
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docker run --gpus all -it --rm -v abc:/NeMo --shm-size=8g -p 8888:8888 -p 6006:6006 --ulimit
memlock=-1 --ulimit stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:21.05-py3
Getting error message:
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} | The change introduces an encoder that can stack and execute several similar Jasper blocks side by side.
This implementation can be used to define and train CarneliNet.
Underlying ParallelBlock supports tower dropout to train models that can be reconfigured during inference time.
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This script simply converts those ckpt's to nemo files to enable various use cases with Jarvix/Onnx/etc. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/2449 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/2449/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/2449/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/2449/events | https://github.com/NVIDIA/NeMo/pull/2449 | 939,374,055 | MDExOlB1bGxSZXF1ZXN0Njg1NjA2OTQz | 2,449 | add mandatory args | {
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We are controlling Checkpoints and ".nemo" directly through Drive | {
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