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---
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license: cc-by-4.0
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---
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# HiFiTTS-2: A Large-Scale High Bandwidth Speech Dataset
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## Download Instructions
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## Dataset Owner(s)
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---
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license: cc-by-4.0
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configs:
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- config_name: 22khz
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data_files:
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- split: utterancces
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path: "manifest_22khz.json"
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- split: chapters
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path: "chapters_22khz.json"
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---
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# HiFiTTS-2: A Large-Scale High Bandwidth Speech Dataset
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## Download Instructions
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1. Download the *manifet.json* file and *chapter.json* files corresponding to your desired sampling rate from this Hugging Face repository. Copy these into a workspace directory (in this example */home/hifitts2*).
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2. Install NeMo-speech-data-processor (SDP) using the *Installation* instructions on https://github.com/NVIDIA/NeMo-speech-data-processor.
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3. Run the SDP script to download the dataset to local disk.
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```bash
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python /home/NeMo-speech-data-processor/main.py \
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--config-path="/home/NeMo-speech-data-processor/dataset_configs/english/hifitts2" \
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--config-name="config_22khz.yaml" \
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workspace_dir="/home/hifitts2" \
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max_workers=8
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```
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*max_workers* is the number of threads to use for downloading the data. To download the 44khz dataset, specify *config_44khz.yaml*.
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By default, the script will download audio files into the workspace directory under *{workspace_dir}/audio_22khz*. The download will ignore HTTP errors and store information for any failed downloads into *{workspace_dir}/errors_22khz.json*. A new manifest will be created at *{worksapce_dir}/manifest_filtered_22khz.json* with utterances from failed audiobooks removed. You can override the default behavior by modifying the *config.yaml* file in your local SDP repository [TODO: Add link to config fil;e].
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If you want to retry the download for failed audiobooks, rerun the script with the output *errors_22khz.json* file.
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```bash
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python /home/NeMo-speech-data-processor/main.py \
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--config-path="/home/NeMo-speech-data-processor/dataset_configs/english/hifitts2" \
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--config-name="config_22khz.yaml" \
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workspace_dir="/home/hifitts2" \
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chapter_filename="/home/hifitts2/chapters_22khz.json" \
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max_workers=8
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```
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Due to legal and ethical considerations, we do not redistribute LibriVox audiobooks to download from Hugging Face.
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## Dataset Owner(s)
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