Comments (5)
Hi Zhengyang,
Merry Christmas. Yes, we also observed that there is some randomness in the result per run. The WER averaged across noise SNR/types is usually more stable. Also as we tune the decoding hyperparameters (e.g., beam size) on the valid set, the test WER is generally stable. Another way to reduce the randomness is to have multiple runs and report the mean WER.
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Hi Zhengyang,
Merry Christmas. Yes, we also observed that there is some randomness in the result per run. The WER averaged across noise SNR/types is usually more stable. Also as we tune the decoding hyperparameters (e.g., beam size) on the valid set, the test WER is generally stable. Another way to reduce the randomness is to have multiple runs and report the mean WER.
Hi, thanks a lot! Averaging the WER of multiple runs is also the method that we use. The average WER is relatively stable.
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Hi, could you please tell me what the noise directory looks like? After data preparation, we have all, babble, music and noise
directories under musan/tsv/
, while I could not find the speech
directory mentioned in this work.
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Hi, could you please tell me what the noise directory looks like? After data preparation, we have
all, babble, music and noise
directories undermusan/tsv/
, while I could not find thespeech
directory mentioned in this work.
Please find how to set up speech
directory here.
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Hi, @joyolee!
If I understood correctly, you used AVSR model for decoding in noisy conditions.
Did you use colab by any chance?
I'm trying to modify the colab example to work with AVSR model (the example is only for VSR), but the colab crashes for unknown reasons. I'm trying to understand whether it's only my problem.
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Related Issues (20)
- Concatenation of features from multiple videos HOT 1
- Errors with distributed training on a single node HOT 1
- I'm trying to pretrain a model with another langauge HOT 1
- Problem Extracting Audio-Only Embeddings using AV-HuBERT HOT 1
- How to load a pre-trained AVHuBERT? (problems after following the instructions) HOT 6
- best_checkpoint_metric is accuracy even for finetuning? HOT 2
- Errors about loading a pretrained model
- a recipe and checkpoint for CTC decoding using CMUDict HOT 1
- Too many CPU resources for fine-tuning HOT 2
- Inference for AVSR
- How to train model on Urdu dataset HOT 1
- The counts of correct predictions for both masked and unmasked tokens are considerably low.
- Unable to Locate mix_babble.py for LRS3 Audio Noise Preparation
- Reproducing base_noise_pt_noise_ft_30h.pt
- To load the previous model when doing double finetuning,
- How to extract embeddings from a specific layer
- 1. Differences between "extract_finetune" and "extract_features" and 2. extract discrete unit feature
- Can I use this work to generate/predict new audio frame in real time?
- decode text with temporal or duration information
- Enquiry about Visual Hubert pre-training procedures, hyper-parameter settings and Visual Hubert model parameters.
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