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https://api.github.com/repos/NVIDIA/NeMo/issues/3814 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3814/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3814/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3814/events | https://github.com/NVIDIA/NeMo/issues/3814 | 1,163,598,227 | I_kwDOC_bI7s5FWxmT | 3,814 | ASR transcription using citrinet or quartznet models sometimes does not give output in proper English words. | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3813 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3813/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3813/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3813/events | https://github.com/NVIDIA/NeMo/issues/3813 | 1,163,486,570 | I_kwDOC_bI7s5FWWVq | 3,813 | Problem loading wavfiles using AudioSegment. | {
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I am getting a bug loading wavfiles using AudioSegment.
File /mnt/disks/uberduck-experiments-v0/NeMo/nemo/collections/asr/parts/preprocessing/segment.py:180, in AudioSegment.from_file(cls, audio_file, target_sr, int_values, offset, duration, trim, orig_sr)
178 if duration > 0:
1... | {
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# What does this PR do ?
Adds high level architecture / model execution flow diagrams to better enable users to understand how to write model scratch training / fine-tuning steps / inference steps
**Collection**: [ASR]
# Changelog
- Add flow diagrams for CTC/R... | {
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# What does this PR do ?
add fr asr model ckpt to doc | {
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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... | {
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} | # What does this PR do ?
Raise an error if fp16 training is tried with O2 recipe. This is not yet supported.
**Collection**: [NLP]
# 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 code snippet demo... | {
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Soft prompt weights were accidently being over written when loading a prompt tuned model for evaluation. This PR fixes this bug.
**Collection**: BigNLP?
# Changelog
Fixed evaluation bug and updated prompt tuning config with default hyperparams found to lead ... | {
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but with import asr models:
Traceback (most recent call last):
File "nemo_check.py", line 45, in <module>
import nemo.collections.asr as nemo_asr
File "/media/meshkovaki/34EC69CAF782C377/Projects/experiments/text/nemo/lib/python3.8/site-packages/nemo/collections/asr/... | {
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I see that many TTS models are being deprecated in the upcoming 1.8 version. I am still selecting a model - what models are planned to have support beyond version 1.8? | null | {
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Pyini (and probably some other things) are missing when running in a Colob environment.
**Steps/Code to reproduce bug**
Run FastPitch_Finetuning.ipynb on a Colab instance.
**Expected behavior**
Unless I'm missing something, I should be able to hit run all after I uncomment the first few ... | {
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When running multi-GPU / multi-node training of NLP Entity Linking model against full UMLS dataset, a return of None for loss & lr from training_step results in a crash of a worker and deadlock (at 100% GPU / CPU utilization). It appears this is incompatible with multi-GPU, but entity linking no... | {
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} | Signed-off-by: Michael Menefee <mikem@mnetwork.org>
# What does this PR do ?
Corrects config file parsing to use number of workers specified instead of default "2", which generates warnings and slows training.
**Collection**: NLP
# Changelog
- Fix spelling error in "num_workers" parameter to actually set ... | {
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} | Signed-off-by: Iztok Lebar Bajec <ilb@fri.uni-lj.si>
# What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: nlp
# Changelog
- Support for loading Huggingface Camembert models, e.g. https://huggingface.co/camembert-base
# Usage
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} | # What does this PR do?
This PR makes Tacotron2 decoder module inference thread-safe and avoids unintentional side-effects that can occur due to concurrent invocation of the function.
**Collection**: TTS
# Changelog
- Encapsulated the mutable internal decoder states into a dataclass called `DecoderStates`
-... | {
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Tacotron 2 TTS model inference is not thread-safe despite being in eval mode and results in various runtime errors (shared below) due to shared decoder internal states being written to by multiple threads. Even when a runtime error doesn't occur, the resulting audios are gibberish and noisy and ... | {
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} | null | null | null | I try perform steps from https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/asr/ASR_with_Transducers.ipynb witn my own dataset.
After 10% of first epoch i see in tensorboard fast growth training_batch_wer from from 0,9 to 200.
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I am training an Arabic model with [diacritics](https://en.wikipedia.org/wiki/Arabic_diacritics).
Digitally, each diacritic is represented as a separate (unicode) character from the actual letter.
[Here's](https://github.com/Tarteel-io/quran-assets/blob/main/text/vocab-DI.txt) an example of th... | {
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`Traceback (most recent call last):
File "fastpitch_finetune.py", line 33, in main
model.maybe_init_from_pretrained_checkpoint(cfg=cfg)
File "/opt/conda/lib/python3.8/site-packages/pytorch_li... | null | {
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The SSL pre-training code & tutorial are very great; however, I have some questions about configurations of models in SSL pre-training (there are some ambiguities for me to set parameters correctly). I have prepared a `citrinet_ssl_512.yaml` config file for SSL pre-training of Citrinet512 model as below: (I have ... | {
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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]
ASR
# Changelog
Diarization with ASR JSON output now also includes sentences.
# Usage
You can use the `examples/speaker_tasks/diarization/offline_diariza... | {
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https://github.com/NVIDIA/NeMo/blob/256236f684cd08abd27008d6a9c41d77993be138/nemo/collections/asr/parts/submodules/jasper.py#L506
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} | Signed-off-by: Boris Fomitchev <bfomitchev@nvidia.com>
# What does this PR do ?
With those changes, exported Conformer with autocast can be converted to TRT with TRT 8.2 (e.g. current nemo2riva).
Also, rolled back previous change of expand->repeat as expand yields better performance.
**Collection**: [Note wh... | {
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A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
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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
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} | # What does this PR do ?
Automatically assigns prompt ids to prompt tags if no prompt ids were specified in the config. This fixes a backward compatibility bug with models that were prompt tuned before this NeMo release.
**Collection**: [Note which collection this PR will affect]
# Changelog
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Automatically assigns prompt ids to prompt tags if no prompt ids were specified in the config. This fixes a backward compatibility bug with models that were prompt tuned before this NeMo release.
**Collection**: [Note which collection this PR will affect]
# Changelog
Changed the ini... | {
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} | # What does this PR do ?
Updates prompt tuning documentation
**Collection**: [Note which collection this PR will affect]
# Changelog
- Only changed the megatron.rst file
# Usage
* Documentation
# Before your PR is "Ready for review"
**Pre checks**:
- [X] Make sure you read and followed [Contributor... | {
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} | Signed-off-by: MaximumEntropy <sandeep.subramanian.1@umontreal.ca>
# What does this PR do ?
This PR makes two fixes to T5 before r1.7.0 (a) Sets async grad allreduce to false for bf16 O2 (b) undoes whole word masking logic for sentencepiece
**Collection**: NLP
# Changelog
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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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} | 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.
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Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
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- Add specific line by line info of high level changes in this PR.
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method `def load_LM_for_CTC_decoder` of the `ASR_TIMESTAMPS` class in the `decoder_timestamps_utils.py` has a bug. When checking the type of the ASR model, 'EncDecCTCModelBPE' should be checked first and then 'EncDecCTCModel'. Otherwise 'EncDecCTCModelBPE' models will always be treated as `EncDecCTCModel` model... | {
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**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 ?
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... | {
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Add a one line overview of what this PR aims to accomplish.
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} | # What does this PR do ?
Added the support of P-tuning T5 model. It supports multiple NLP tasks.
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I'm trying to train conformer rnnt model with accumulating several batches for gradient. For that, I specified it in the trainer as follow :
```
trainer = pl.Trainer(gpus=gpus, max_epochs=nb_epochs, distributed_backend="ddp", precision=16, accumulate_grad_batches=32)
```
but it seems like nothing c... | {
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### Punctuation issues
#### Inverted punctuation
For languages like Spanish, we need two predictions per token to account for the possibility of inverted punctuation tokens preceding a word.
#### Subword masking
By always... | null | {
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} | # What does this PR do ?
Add language modelling support for transducer models. It enables using N-gram LM with Transducer models. It also enables the neural rescoring feature for Transducer models.
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially a... | {
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} | …s. Also making fixes to measure so sounds more fluent.
Signed-off-by: Bonham79 <travismbartley@gmail.com>
# What does this PR do ?
Updates tn_es to make gender randomized.
Add a one line overview of what this PR aims to accomplish.
This will update some minor aspects of tn_es to lower error rate.
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} | # What does this PR do ?
Fix directories in ssl notebook for running off-colab
**Collection**: ASR
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation | {
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It is very strange , only one audio file has this error when calling speaker diariation function, Error Message as below:
Error:cusolver error: CUSOLVER_STATUS_INTERNAL_ERROR, when calling `cusolverDnSsyevd(handle, jobz, uplo, n, A, lda, W, work, lwork, info)`
**Steps/Code to reproduce bug**... | {
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I have a small dataset consisting of ~1 hrs of audio. I mixed the dataset and the dataset of "old speaker" (the [Nancy corpus](http://www.cstr.ed.ac.uk/projects/blizzard/2011/lessac_blizzard2011/) in my case) according to `FastPitch_Finetuning.ipynb`.
I trained it using config `fastpitch_align... | {
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} | # What does this PR do ?
Update docs for RNNT decoding with overridden fused batch size
**Collection**: [ASR]
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [x] Documentation
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} | Signed-off-by: ekmb <ebakhturina@nvidia.com>
# What does this PR do ?
Bug fixes for Duplex inference and WFST non-ascii error
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 ... | {
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} | # What does this PR do ?
Specify gpus in SSL notebook.
**Collection**: ASR
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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I test it out in a Virtualbox and a Second PC and there is works fine.
The other's System doesn't have NVIDIA so I guess it's has something to do with that.
Journalctl give me:
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# What does this PR do ?
Add megatron t5 glue eval-only script
**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 ?
Adds pipeline parallel training support to T5.
**Collection**: NLP
# Changelog
- TBD
# Usage
Set `pipeline_model_parallel_size=2/4` in `megatron_t5_config.yaml`.
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guide... | {
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# What does this PR do ?
Allows import test to be run from forked branches.
**Collection**: [all]
# Changelog
- Should allow ci import check to always be run
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} | # What does this PR do ?
Fix SSL configs for 1.7
**Collection**: ASR
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation | {
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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
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# Usage
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Update ASR SSL including tutorial
**Collection**: ASR
# Changelog
- transfer ssl updates from main
- fix an4 dataset loading
- fix some typos
- add more explanations
- change some config values
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# What does this PR do ?
Update ASR SSL tutorial
**Collection**: ASR
# Changelog
- fix an4 dataset loading
- fix some typos
- add more explanations
- change some config values
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We fix the case where batch_size > 1 and also fix a typo.
**Collection**: [NLP]
# 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 code snippet demonstrating how to use thi... | {
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} | # What does this PR do ?
Add mirror to AN4 dataset while CMU servers are down.
**Collection**: [ASR, Speaker Tasks]
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} | # What does this PR do ?
Multi-Label Intent Model for Joint Intent Slot Classification Task.
**Collection**: [Note which collection this PR will affect]
This PR will involves changes in collections/nlp within NeMo.
# Changelog
- New loss function added to collections/common/losses (BCEWithLogitsLoss)
- ... | {
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} | # What does this PR do ?
Update the paths/version of some of the conformer models trained with nemo asrset 2.0.
# Changelog
- Updated the versions.
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
**Collection**: [TTS]
# Changelog
- Fix bugs in E2E TTS, Mixer-TTS and FastPitch
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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} | Signed-off-by: Yang Zhang <yangzhang@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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} | This PR will load the initial consumed samples from the checkpoint file names. The consumed samples will be calculated based on the relative training steps and global batch size.
The T5 doesn't seem to calculate the consumed samples correctly if it supports pipeline parallel.
```python
def compute_consumed_samp... | {
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} | # What does this PR do ?
Text normalization docs improvements:
- added quick start
- merged all docs related to TN/ITN
- fixed references issues
- added docs for audio-based TN
Add a one line overview of what this PR aims to accomplish.
**Collection**: [Note which collection this PR will affect]
# Chang... | {
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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
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# Usage
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} | # What does this PR do ?
Fix device placement on notebook
**Collection**: []
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation
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# What does this PR do ?
Adds a test to check if grad accumulation works with Numba CUDA/CPU RNNT Loss.
**Collection**: [ASR]
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
* You can potentially add a usage example b... | {
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pynini pip installation | {
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I have used the [SSL pre-training script](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/speech_pretraining/speech_pre_training.py) as follows:
```sh
python speech_pre_training.py \
--config-path="../conf/ssl/citrinet/" \
--config-name="citrinet_ssl_1024" \
model.train_ds.manifest_filepath=... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3727 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3727/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3727/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3727/events | https://github.com/NVIDIA/NeMo/pull/3727 | 1,147,277,916 | PR_kwDOC_bI7s4zTfCf | 3,727 | Add cython | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3726 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3726/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3726/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3726/events | https://github.com/NVIDIA/NeMo/pull/3726 | 1,147,273,757 | PR_kwDOC_bI7s4zTeKi | 3,726 | Pynini pip | {
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} | # What does this PR do ?
change pynini installation to pip on non-mac unix systems, otherwise use conda | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3724 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3724/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3724/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3724/events | https://github.com/NVIDIA/NeMo/issues/3724 | 1,146,733,433 | I_kwDOC_bI7s5EWcN5 | 3,724 | Question : Conformer RNNT finetuning | {
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I am trying to finetune STT En Conformer RNNT for spanish. the problem is the following : when I try to change the tokenizer, the model is just such as training from scratch and it takes too much time for converging ( in reality it doesn't converge :p ). Does any one have an explanation, an idea or a trick... | null | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3723 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3723/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3723/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3723/events | https://github.com/NVIDIA/NeMo/pull/3723 | 1,146,604,086 | PR_kwDOC_bI7s4zRQtK | 3,723 | num_workers default number change | {
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} | Signed-off-by: George Zelenfroynd gzelenfroind@nvidia.com
# What does this PR do ?
added lines to asr models that have no num_worker param, its absence caused slow training
**Collection**: ASR
# Changelog
- Adds lines in files of asr models
# Before your PR is "Ready for review"
**Pre checks**:
- [ ]... | {
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} | Signed-off-by: nithinraok <nithinrao.koluguri@gmail.com>
# What does this PR do ?
Added feature for ignoring samples from speakers with very few utterances
**Collection**: [Note which collection this PR will affect]
# Changelog
- Added a helper function for ignoring samples from speakers with very few utt... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3721 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3721/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3721/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3721/events | https://github.com/NVIDIA/NeMo/pull/3721 | 1,146,431,101 | PR_kwDOC_bI7s4zQsu6 | 3,721 | Polylang asr | {
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} | # What does this PR do ?
Adds the ability to aggregate multiple tokenizers for multi-lingual ASR training and inference
**Collection**: ASR
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
Add the 'lang' field to each entry in your manifest file -- e.g. to add the sa... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3720 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3720/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3720/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3720/events | https://github.com/NVIDIA/NeMo/pull/3720 | 1,146,065,654 | PR_kwDOC_bI7s4zPgtH | 3,720 | Update libritts get data. audio-based normalization | {
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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
```python
# Add a cod... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3717 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3717/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3717/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3717/events | https://github.com/NVIDIA/NeMo/issues/3717 | 1,145,720,499 | I_kwDOC_bI7s5ESk6z | 3,717 | Cannot download citrinet models | {
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Ive managed to download the models under quartznet however am having issues regarding citrinet models.
Please see error output below.
Thanks
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} | # What does this PR do ?
- Adds the ability to aggregate multiple tokenizers for multi-lingual ASR training and inference
**Collection**: [ASR]
# Changelog
# Usage
* Add the 'lang' field to each entry in your manifest file -- e.g. to add the same language (`es`) to all entries in a file, you could do `... | {
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} | # What does this PR do ?
Update contrastive ssl for asr
**Collection**: ASR
# Changelog
- add options to contrastive loss implementation
- add slightly different spec augmentation for ssl
- update corresponding configs for conformer, citrinet, contextnet ssl
**PR Type**:
- [x] New Feature
- [ ] Bugfix... | {
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# Changelog
- Fix bug with random sampling and `numpy` to `torch` converting in `__getitem__`
- Fix bug with `phoneme_probability` field for `EnglishCharsTokenizer`
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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# What does this PR do ?
Minor issue with checking indexes when adding special tokens to SPM.
Figure out what is going on with sentencepiece and whole word masking.
**Collection**: [Note which collection this PR will affect]
# Changelog
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# What does this PR do ?
include pynini as default pip dependency, remove PYNINI_AVAILBLE guard and conda installation
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} | # What does this PR do ?
Adds support of recent versions of Dash and librosa. Adds new features (metrics, export, UI).
**Collection**: Tools
# Changelog
- Ported SDE to Plotly Dash 2.1, librosa 0.9
- Added new metrics (insertions, deletions, diff)
- Added support for downloading sorted/filtered vocabulary
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} | Signed-off-by: Dmytro Pykhtar <dpykhtar@nvidia.com>
# What does this PR do ?
Removed log_probs fp16 converting in complete method.
**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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I am developing an API for a speaker diarization task with ASR (`/examples/speaker_tasks/diarization/offline_diarization_with_asr.py`). For my use case the script generates two useful outputs a `.json` that looks something like this:
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For speaker diarization tasks tutorials and examples currently only offer scripts for offline diarization. I successfully got those running in combination with custom ASR models for Slovenian language. For ASR tasks the repository also contains scrip... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3706 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3706/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3706/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3706/events | https://github.com/NVIDIA/NeMo/pull/3706 | 1,142,809,495 | PR_kwDOC_bI7s4zEcom | 3,706 | [TTS] Add cache_size to BetaBinomialInterpolator, fix bugs in TTS tutorials and FastPitch | {
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**Collection**: [TTS]
# Changelog
- Change default speaker in FastPitch from `0` to `None` (i.e no speaker embedding is default now)
- Change call of `functools.lru_cache` (for python 3.7 support) and add `cache_size` to BetaBinomialInterpolator
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I try to export fast pitch models, but it took a lot of RAM then process is killed. In my case, I use Mac OS to export and swap increase from 3 GB to 54 GB. I also used to try with google colab, but the kernel died after run export because memory issue.
**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
```python
# Add a cod... | {
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# What does this PR do ?
Speeds. up audio based normalization (from manifest)
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 chan... | {
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} | # What does this PR do ?
Enforce that all top level domain imports must be safe - and no optional dependency should break the base import.
**Collection**: [ASR, NLP, TTS]
# Changelog
- Add an explicit import test to the three domains, independently of the others.
- Follow the normal user style of installin... | {
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# What does this PR do ?
fix json -> join in clustering diarizer
**Collection**: speaker_tasks
# Changelog
- change json -> join
# Before your PR is "Ready for review"
**Pre checks**:
- [ ] Make sure you read and followed [Contributor guideline... | {
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} | 1. Added ApexGuardDefaults class that provides None attributes when an Apex class is missing.
2. Fixed Apex guard.
Signed-off-by: Micha Livne <mlivne@nvidia.com>
# What does this PR do ?
This PR fixes an Apex guard that leaves constructors with undefined constructor values.
**Collection**: [Note which ... | {
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In [diarization class (ClusteringDiarizer)](https://github.com/NVIDIA/NeMo/blob/main/nemo/collections/asr/models/clustering_diarizer.py#L395), there is `os.path.json()` function, but I think it is actually `os.path.join()`.
Nemo version: 1.6.2 | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/3698 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/3698/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/3698/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/3698/events | https://github.com/NVIDIA/NeMo/pull/3698 | 1,141,173,975 | PR_kwDOC_bI7s4y-1oH | 3,698 | [TTS] Clean FastPitch_Finetuning.ipynb notebook | {
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} | Signed-off-by: Oktai Tatanov <oktai.tatanov@gmail.com>
**Collection**: [TTS]
# Changelog
- Clean notebook
**PR Type**:
- [ ] New Feature
- [x] Bugfix
- [ ] Documentation | {
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