FireRedASR
Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.
File Explorer
- FireRedASR_model.png
- BAC009S0764W0121.wav
- IT0011W0001.wav
- TEST_MEETING_T0000000001_S00000.wav
- TEST_NET_Y0000000000_-KTKHdZ2fb8_S00000.wav
- text
- wav.scp
- fireredasr
- inference_fireredasr_aed.sh
- inference_fireredasr_llm.sh
- pretrained_models
- asr_feat.py
- token_dict.py
- adapter.py
- conformer_encoder.py
- transformer_decoder.py
- fireredasr.py
- fireredasr_aed.py
- fireredasr_llm.py
- aed_tokenizer.py
- llm_tokenizer.py
- param.py
- wer.py
- speech2text.py
- README.md
- aed_tokenizer.py
- asr_feat.py
- fireredasr_aed_tensorrt.py
- model.py
- config.pbtxt
- convert_checkpoint.py
- export_encoder_tensorrt.py
- export_tensorrt.sh
- docker-compose.yml
- Dockerfile
- http_client.py
- infer.py
- README.md
- run.sh
- LICENSE
- README.md
- requirements.txt
# Use via CDN
jsDelivrjsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.
Command Glossary
Commands referenced in this DOCs, explained below.
conda activate
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conda activate
Activate a conda environment.
See also: `conda deactivate`.
conda activate myenv
Activate an existing environment named `myenv`:
conda activate {{path/to/myenv}}
Activate an existing environment located at custom path:
conda activate --stack myenv
Stack `myenv` environment on top of a previous environment making libraries/commands/variables from both accessible:
conda create
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conda create
Create new conda environments.
conda create {{[-y|--yes]}} {{[-n|--name]}} py39 python=3.9 "numpy>=1.11" scipy
Create a new environment named `py39`, install Python 3.9, NumPy v1.11 or above in it, and the latest stable version of SciPy. Say yes to all confirmations:
conda create {{[-n|--name]}} myenv --file {{file1.yml}} --file {{file2.yml}}
Create a new environment named `myenv` and install packages listed in files:
conda create {{[-p|--prefix]}} {{path/to/myenv}}
Create a new environment at a custom path (i.e. prefix):
ffmpeg
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ffmpeg
Video conversion tool.
See also: `gst-launch-1.0`.
ffmpeg -i {{path/to/video.mp4}} -vn {{path/to/sound.mp3}}
Extract the sound from a video and save it as MP3:
ffmpeg -i {{path/to/input_audio.flac}} -ar 44100 -sample_fmt s16 {{path/to/output_audio.wav}}
Transcode a FLAC file to Red Book CD format (44100kHz, 16bit):
ffmpeg -i {{path/to/video.mp4}} {{[-vf|-filter:v]}} 'scale=-1:1000' -r 15 {{path/to/output.gif}}
Save a video as GIF, scaling the height to 1000px and setting framerate to 15:
git clone
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git clone
Clone an existing repository.
git clone {{remote_repository_location}} {{path/to/directory}}
Clone an existing repository into a new directory (the default directory is the repository name):
git clone --recursive {{remote_repository_location}}
Clone an existing repository and its submodules:
git clone {{[-n|--no-checkout]}} {{remote_repository_location}}
Clone only the `.git` directory of an existing repository:
pip install
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pip install
Install Python packages.
pip install {{package1 package2 ...}}
Install one or more packages:
pip install {{package1 package2 ...}} {{[-U|--upgrade]}}
Upgrade all specified packages to the latest version, installing any that are not already present:
pip install {{package}}=={{version}}
Install a specific version of a package:
