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} | # What does this PR do ?
Add cache aware streaming model in nemo force aligner
Should be easy for ctc segmentation tool to call and get the log probs as well.
Most of the codes are copied from speech_to_text_cache_aware_streaming_infer.py.
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Updates TTS tutorial to point to the IPA dictionary (renamed)
**Collection**: TTS
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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Make sure all the unit tests passes.
Make sure the training loss is the same as with apex. | {
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This PR is trying to get our docs to use the NVIDIA Sans font
**Collection**: Core
# 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 ?
When using spawn, the dataloader must have persistent_workers=True, otherwise validation will be very slow (all workers will be reinitialized every validation)
**Collection**: [NLP]
# Changelog
- Add specific line by line info of high level changes in this PR.
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the tutorial was broken due to https://github.com/NVIDIA/NeMo/pull/5982.
**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
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A fresh install of NeMo will break when using Lightning 2.0.0 because NeMo calls `from pytorch_lightning.trainer.connectors.checkpoint_connector import CheckpointConnector` but `CheckpointConnector` has been moved to `_CheckpointConnector` in 2.0.0 (see [here](https://github.com/Lightning-AI/lig... | {
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407 # do preemphasis
408 if self.preemph is not None:
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Hi, thanks for providing such a helpful toolkit. I'm currently following the tutorial from [Nvidia-examples](https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/asr/ASR_with_NeMo.ipynb#scrollTo=3FT0klSV268p), and applying my own Mandarin Chinese corpus. Since our dataset i... | {
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} | # What does this PR do ?
the tutorial was broken due to https://github.com/NVIDIA/NeMo/pull/5982.
**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 ?
fixed code scanning alert: https://github.com/NVIDIA/NeMo/security/code-scanning/885
**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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fixed code scanning alert https://github.com/NVIDIA/NeMo/security/code-scanning/905
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# Changelog
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} | # What does this PR do ?
fixed code scanning alert https://github.com/NVIDIA/NeMo/security/code-scanning/836
**Collection**: [Note which collection this PR will affect]
# Changelog
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} | # What does this PR do ?
fixed code scanning alert https://github.com/NVIDIA/NeMo/security/code-scanning/774
**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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I have create a diarization pipeline and I wanted to implement it into a queue messages system. I am using Pika with RabbitMQ and multiprocessing package. I initialize multiple consumer processes and wait for messages to come into the diarizationInputQueue, diarize the input recordings and put the resul... | {
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# Changelog
- Fixed the bucketing bug by making the bucketing dataloaders to loop over the samples indefinitely.
**PR Type**:
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Add `model.data.shuffle_documents` flag which allows disabling document shuffling for GPT dataset
**Collection**: NLP
# Changelog
-Add `model.data.shuffle_documents` flag which allows disabling document shuffling for GPT dataset
# Usage
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removes functionality to insert virtual tokens arbitrarily which makes code complex and has no performance benefit. This PR removes this ability and simple adds virtual tokens in the start.
Makes P-tuning for RETRO models easier.
Removes taskname_ids from dataset creation.
**Collectio... | {
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} | removed comma in the end of the list to prevent error paring this file as jupiter notebook.
# 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
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Address codeQl alert: https://github.com/NVIDIA/NeMo/security/code-scanning/772
**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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To support buffered chunked streaming inference for nemo neural force aligner.
**Collection**: [Note which collection this PR will affect]
ASR
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- add an argument (keep_logits default is False) for transcribe function in `FrameBatchASR` to keep the inference logits.
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Add session and segment augmentation, add logging of params and metadata of each session, fix implicit bug in RIR perturbation.
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} | # What does this PR do ?
As discussed in https://github.com/NVIDIA/apex/pull/1611, we are experiencing excessive GPU idling when training GPT with the distributed optimizer and interleaved pipeline parallelism. That PR addresses the issue by making sure all distopt communication is aligned across the pipeline-parall... | {
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} | # What does this PR do ?
Previously only training and validation examples longer than the max encoder length were filtered out. This PR makes it possible to filter out by a specified length. This will save training time, as larger batch sizes will be possible after removing a small % of training and validation examp... | {
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Enables testing functionality and performance of training code using a synthetic version of existing datasets.
**Collection**: NLP (language_modeling)
# Changelog
- Added SyntheticGPTDataset which produces the same size and datatypes of output as GPTDataset
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Not able to convert the nemo model : stt_en_conformer_ctc_large.nemo to riva using nemo2riva
Model EncDecCTCModelBPE was successfully restored from /data/atc_tenant/asr/lsfadmin/temp/stt_en_conformer_ctc_large.nemo.
[NeMo I 2023-03-13 13:21:57 schema:154] Loaded schema file /usr/local/lib/py... | {
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} | # What does this PR do ?
Add spellchecking ASR customization model and scripts for data preparation and evaluation.
**Collection**: [Note which collection this PR will affect]
nlp
# Changelog
- Add specific line by line info of high level changes in this PR.
# Usage
See examples/nlp/spellchecking_asr_cu... | {
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} | # What does this PR do ?
Fixes these issues
#5933 https://github.com/NVIDIA/NeMo/issues/5933
#5937 https://github.com/NVIDIA/NeMo/issues/5937
**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 ?
update import paths in TTS tutorials.
**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 ?
Simillar #6001 PR.
I fix missing import statement in a non-CUDA environment for 'r1.16.0' branch.
**Collection**: ASR
# Changelog
- Add import gc statement for non-CUDA environment
# Usage
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This PR adds a few enhancements to RIR generation scripts.
**Collection**: Tools
# Changelog
- Fix: reduce room size if evaluation of params fails
- Added: randomized mic placement
- Added: diffuse noise generation
- Added: an option to specify the format and subtype for saved aud... | {
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Allows users to pass in a grapheme + phoneme list/set as an enforced symbol vocabulary when using the IPA classes. Other symbols, such as punctuation, OOV, etc. are still handled by other tokenizer arguments.
Once set, G2P dictionary entries will be filtered in the following way:
- Words... | {
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} | # What does this PR do ?
Refactor hyperparameter recommendation and add defaults for epochs, num virtual tokens and lr
**Collection**: nlp
# Changelog
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# Usage
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adds answer-field to metric.
**Collection**: [NLP]
# Changelog
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# Usage
* You can potentially add a usage example below
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# Add a code snippet demonstrating how to use this
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Implement Grid- and Compose-Transducer along with W-Transducer loss according to the paper "Powerful and Extensible WFST Framework for Rnn-Transducer Losses" https://ieeexplore.ieee.org/document/10096679 (https://arxiv.org/abs/2303.10384)
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**Collection**: [Note which collection this PR will affect]
1. Added support in a custom token sampling function to `MegatronLMEncoderDecoderModel.decode`.
2. Added beam search sampling methods.
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Add ClearML logging of samples produced in validation step
**Collection**: [TTS]
# Changelog
- Add `tensor_to_wav` and `mel_to_audio` to `nemo.collections.tts.parts.utils.helpers`
- Add ClearML logging of samples in:
- `nemo.collections.tts.models.univnet`
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} | # What does this PR do ?
Adds documentation for Exportable and ExpManager.
**Collection**: [Core, Docs]
# Changelog
- Fix exp manager subconfig docs
- Add exp manager loggers
- Add exp manager EMA docs
- Update Exportable docs and function docs
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
I've been experiencing a hang in the first validation step when running GPT with interleaved pipeline parallelism. This first shows up in https://github.com/NVIDIA/NeMo/pull/6049, so it seems that accessing the data loader in middle pipeline stages is the root cause.
**Collection**: NLP
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**Collection**: [Note which collection this PR will affect]
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**Collection**: [Note which collection this PR will affect]
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} | Add preemption functionality in preemption_callback.py under utils
Refactor the code to move NemoModelCheckpoint callback under callbacks
# What does this PR do ?
Adding basic functionality for cluster preemption.
**Collection**: [Note which collection this PR will affect]
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} | # What does this PR do ?
Merges bugfixes and doc updates from the release branch into main.
(these should be done automatically by the github action but this PR will make sure the release branch can be rebased onto main)
**Collection**: [Note which collection this PR will affect]
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} | 1. Fixed the bug in the script to convert Megatron LM ckpt to NeMo.
2. Fixed a bug in the GPT PP that we should only add output layer for the last PP rank.
3. Overwrite the precision in the eval script and fix the web server. | {
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```output
Traceback (most recent call last):
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} | # What does this PR do ?
Add scheduler for univnet model.
**Collection**: [TTS]
# Changelog
- Add `get_warmup_steps` into `UnivNetModel`
- Change `configure_optimizers` in `UnivNetModel` for scheduler support
# Usage
Standart usage of scheduler
# Before your PR is "Ready for review"
**Pre checks**:
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} | # What does this PR do ?
Fixes for tests and docs
**Collection**: [Docs, ASR]
# Changelog
- Fix dark mode in NeMo docs
- Fix issue with flaky RNNT test where the seq length can be off by one due to minute perturbation during beam search
# Before your PR is "Ready for review"
**Pre checks**:
- [x] Mak... | {
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} | # What does this PR do ?
Add optional configuration to AudioToMelSpectrogramPreprocessor to allow disabling area normalization in the librosa mel filter.
Applying area normalization to the mel spectrogram reduces its range of values from approximately [0, 100] to [0, 1], which is detrimental when you take the log... | {
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} | # What does this PR do ?
Makes prompt learning compatible when sp tokenizer has legacy = False.
**Collection**: [NLP]
# Changelog
# Usage
* You can potentially add a usage example below
```python
# Add a code snippet demonstrating how to use this
```
# Before your PR is "Ready for review"
**Pre... | {
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When enabling `rope` position_embedding_type and `sequence_parallel` in NeMo GPT pretraining, the training will give runtime error:
```
File "/workspace/NeMo/nemo/collections/nlp/modules/common/megatron/rotary_pos_embedding.py", line 59, in apply_rotary_pos_emb
t = (t * freqs.cos())... | {
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} | # What does this PR do ?
Update finetune config to include optimizer groups
**Collection**: Speaker Tasks
# Changelog
- update optim param group
- save labels.txt files while running experiments
**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation
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Update titanet finetune configs
**PR Type**:
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- [ ] Bugfix
- [ ] Documentation
If you haven't finished some of the above items you can still open "Draft" PR.
## Who can review?
Anyone in the community is free to review the PR once the checks have passed.
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If need to resume checkpoints from `exp_manager.explicit_log_dir`, NeMo exp_manager will check the folder for checkpoints with `end.ckpt` or `last.ckpt` suffix. However, sometimes if one of the data_parallel_rank 0 failed to save the checkpoint or there are multiple `last.ckpt` in the same folde... | {
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**Collection**: [Note which collection this PR will affect]
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```
import nemo.collections.asr as nemo_asr
conformer = nemo_asr.models.ASRModel.restore_from('/home/Conformer-CTC-L_spe128_ar-AR_2.0.nemo')
```
but an error arose with the message ' ReadErro... | {
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Added ckpt to nemo for T5/T0 models
Can use ```model_type=[t5/gpt]``` to declare the model type in the config
**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 potentiall... | {
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Fixes character decoding with CTC beam search framework
**Collection**: [ASR]
# Changelog
- Add index vocab and vocab index maps for reverse decoding in character based models
- Update nemo and pyctcdecode inference
# Before your PR is "Ready for review"
**Pre checks**:
- [x]... | {
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Adds the following metrics for GPT/T5 prompt learning:
- Accuracy -> exact string match
- BLEU score
- ROUGE-1, 2, 3, L
**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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Fix minor typos in `README.rst`. | {
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This PR adds this option and makes it the default behavior.
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https://api.github.com/repos/NVIDIA/NeMo/issues/6133 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/6133/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/6133/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/6133/events | https://github.com/NVIDIA/NeMo/issues/6133 | 1,610,401,421 | I_kwDOC_bI7s5f_MaN | 6,133 | [DIARIZATION] is clustering needed when number of speakers is known? | {
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I'm using the diarization model and already know the number of speakers. I thought that the clustering algorithm was only needed to determine the number of speakers, but it seems that it is still being run if when I use the following settings:
```
meta = {
'audio_filepath': an4_audio,
'offset': ... | {
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} | # What does this PR do ?
Currently, multichannel audio can be used in `audio_filepath` by providing a path to a multichannel file.
This PR adds support for `audio_path` to specify multichannel audio by providing a list of paths to single-channel files.
**Collection**: ASR
# Changelog
- `AudioSegment.from_... | {
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NeMo currently executes load_checkpoint independently on all ranks, causing unnecessarily high filesystem reading. In contrast,
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} | Download NGC pre-trained model checkpoints and run model inference for all models supported in `self.list_available_models()`.
* fixed pretrained model names that are not following naming convention:
* `tts_hifigan` --> `tts_en_hifigan`
* `tts_waveglow_88m` --> `tts_en_waveglow_88m`
* created `--nightly` op... | {
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} | # What does this PR do ?
TTS collections currently have two waveglow models released in NGC model cards, however, only the lastest one (`tts_waveglow_88m`) works with the lastest code base without needs of `torch_stft`. The old one (`tts_waveglow_268m`) always pops up error below,
```
E RuntimeError: Err... | {
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} | null | null | null | **Describe the bug**
I trained QuartzNet acoustic model + KenLM 2-ngram model, now I run eval_beamsearch_ngram.py to evaluate it.
It seems like beam_search_func in BeamSearchDecoderWithLM outputs tuples (confidence, text) (the doc agrees), so cand.y_sequence is a resulting string.
but later on the function p... | {
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} | # What does this PR do ?
Remove 8k model mention and indicate estimated training time for NeMo LLM dataset preparation tool.
Also adds a model flag to recommend_hyperparameters function, which is not used now but can be used to recommend hyperparameters based on model chosen later on.
**Collection**: None
#... | {
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} | # What does this PR do ?
* deprecated the first german single-speaker fastpitch+hifigan model that hacked `GermanCharTokenizer` by manually mixing graphemes and phonemes. This model was trained on Thorsten's neutral 21.02 dataset.
* added two new fastpitch+hifigan models that applied the refined `GermanCharsTokeniz... | {
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Cherry-pick from #6094
Fix `torchaudio` installation, fix `k2` installation in some cases. Make `torchaudio` and `k2` not required by default.
**Collection**: [CI]
# Changelog
- add build arguments `REQUIRE_TORCHAUDIO` and `REQUIRE_K2` for `torchaudio` and `k2` in Dockerfile
... | {
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} | # What does this PR do ?
Spanish does not have heteronyms, only polyphones (eg. region-specific pronunciations of the same word). To make this clearer, I am removing the heteronyms file and placing the alternative pronunciations into the dictionary.
**Collection**: [TTS]
# Changelog
- Delete es_ES and es_LA ... | {
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} | # What does this PR do ?
Add a one line overview of what this PR aims to accomplish.
Fixes bug in processing multilingual / codeswitched tarred datasets
**Collection**: [Note which collection this PR will affect]
ASR
# Changelog
- Add specific line by line info of high level changes in this PR
- isinstance(... | {
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} | null | null | null | **Describe the bug**
When initiating tacotron.py for training, the following error comes up:
Error executing job with overrides: []
Error in call to target 'nemo.collections.tts.data.tts_dataset.TTSDataset':
FileNotFoundError(2, 'No such file or directory')
full_key: train_ds.dataset
**Steps/Code to reproduce... | {
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} | # What does this PR do?
This PR adjusts calculation of stochastic depth dropout probability.
Currently, calculation fails for 1-layer ConformerEncoder with the default setup.
The culprit is calculation of the probability in `compute_stochastic_depth_drop_probs ` for `linear` mode:
```
layer_drop_probs += [l ... | {
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https://api.github.com/repos/NVIDIA/NeMo/issues/6119 | https://api.github.com/repos/NVIDIA/NeMo | https://api.github.com/repos/NVIDIA/NeMo/issues/6119/labels{/name} | https://api.github.com/repos/NVIDIA/NeMo/issues/6119/comments | https://api.github.com/repos/NVIDIA/NeMo/issues/6119/events | https://github.com/NVIDIA/NeMo/issues/6119 | 1,601,365,838 | I_kwDOC_bI7s5fcudO | 6,119 | [QUERY] : How to extract embedding of an audio file? | {
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} | null | null | null | Hi, first of all, thanks for the amazing toolkit.
My query is pretty basic. I am trying to extract the embeddings of an audio file after passing it through a fine-tuned .nemo model. I saw that this support is available for [`Speaker Identification task`](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/st... | {
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} | # What does this PR do ?
Ngram LM fusion for RNNT modified adaptive expansion search (maes) decoding.
**Collection**: [ASR]
# Changelog
- Add ngram_lm option to maes decoding algorithm
- Add EncDecRNNTBPEModel and EncDecRNNTModel to kenlm_utils.py for ngram lm building
- Add new file eval_beamsearch_ngram... | {
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Fixes enhancer usage in ASR-TTS examples
**Collection**: [ASR]
# 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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# Add a code snippet demonstrating how to use this
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Fixes enhancer usage in ASR-TTS examples
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- Add specific line by line info of high level changes in this PR.
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save_best_model and always_save_nemo will work with tp/pp > 1 with this PR.
**Collection**: [NLP,ASR]
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Repeating https://github.com/NVIDIA/NeMo/pull/6087 for r1.16.0
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} | # What does this PR do ?
Task 3: break down nemo.collections.tts.g2p.models and save to nemo.collection.tts.models
- base.py # move and merge tts/g2p/models/g2p_model.py::G2PModel class here because it is the base model for g2p.
- g2p_ctc.py # move and rename tts/g2p/models/ctc_g2p.py here. File name uses ... | {
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} | # What does this PR do ?
Task 4: break down `nemo/collections/tts/g2p/modules.py` and save to `nemo/collections/tts/g2p/models`. The “Modules” concept used by g2p is misleading in comparison to NeMo standards, i.e. modules usually mean `torch.nn.Module` or `NeuralModule`. We should remove any confusion. According to... | {
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} | # What does this PR do ?
This new badges will look like below,
1. added |pypi| |pyversion| |codeql||downloads|;
2. remove lgtm because it is deprecated.
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} | # What does this PR do ?
Update librosa resample signature
**Collection**: ASR
# Changelog
- add naming args
**PR Type**:
- [ ] New Feature
- [x] Bugfix
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} | # What does this PR do ?
Adds missing parameters to ModelCheckpoint CallbackParams, to achieve feature parity with PTL. See ModelCheckpoint API here: https://pytorch-lightning.readthedocs.io/en/stable/api/pytorch_lightning.callbacks.ModelCheckpoint.html
**Collection**: exp_manager
# Changelog
- Add specific li... | {
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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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