From 5fe142b4c59ab7b3e1aa6d43b81b9095ea0d5944 Mon Sep 17 00:00:00 2001 From: Sean Naren Date: Thu, 27 Oct 2022 17:27:49 +0100 Subject: [PATCH] Fix links to speaker identification notebook (#5260) Signed-off-by: SeanNaren Signed-off-by: SeanNaren --- examples/speaker_tasks/recognition/README.md | 4 ++-- examples/speaker_tasks/recognition/speaker_reco.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/speaker_tasks/recognition/README.md b/examples/speaker_tasks/recognition/README.md index f6c84e6e68c6..0e0f5ae3b4fc 100644 --- a/examples/speaker_tasks/recognition/README.md +++ b/examples/speaker_tasks/recognition/README.md @@ -29,14 +29,14 @@ For training ecapa_tdnn (channel-attention) model: ```bash python speaker_reco.py --config_path='conf' --config_name='ecapa_tdnn.yaml' ``` -For step by step tutorial see [notebook](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Recognition_Verification.ipynb). +For step by step tutorial see [notebook](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb). ### Fine Tuning For fine tuning on a pretrained .nemo speaker recognition model, ```bash python speaker_reco_finetune.py --config_path='conf' --config_name='titanet-finetune.yaml' ``` -for fine tuning tips see this [tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Recognition_Verification.ipynb) +for fine tuning tips see this [tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb) ## Inference We provide generic scripts for manifest file creation, embedding extraction, Voxceleb evaluation and speaker ID inference. Hence most of the steps would be common and differ slightly based on your end application. diff --git a/examples/speaker_tasks/recognition/speaker_reco.py b/examples/speaker_tasks/recognition/speaker_reco.py index f1d58cb11268..f6ec557cf868 100644 --- a/examples/speaker_tasks/recognition/speaker_reco.py +++ b/examples/speaker_tasks/recognition/speaker_reco.py @@ -37,7 +37,7 @@ exp_manager.name=$EXP_NAME +exp_manager.use_datetime_version=False \ exp_manager.exp_dir='./speaker_exps' -See https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Recognition_Verification.ipynb for notebook tutorial +See https://github.com/NVIDIA/NeMo/blob/main/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb for notebook tutorial Optional: Use tarred dataset to speech up data loading. Prepare ONE manifest that contains all training data you would like to include. Validation should use non-tarred dataset.