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Added model config params for Canary-1B-Flash, Canary-180M-Flash models #12588
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minor comment. LGTM
@@ -7,6 +7,15 @@ | |||
# One extra (linear projection) layer is added between FastConformer encoder and Transformer decoder if they have different hidden sizes | |||
# It is recommended to initialize FastConformer with ASR/SSL pre-trained encoder for better accuracy and faster convergence | |||
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# Canary model family |
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Can you add a sample training manifest json line to the top of the file
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Something like this?
{"audio_filepath": "/path/to/audio/file.wav", "duration": 6.192, "text": "Text spoken in the audio.", "source_lang": "en", "target_lang": "en", "taskname": "asr", "pnc": "yes"}
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yes
Signed-off-by: Kunal Dhawan <kunaldhawan97@gmail.com>
Signed-off-by: Kunal Dhawan <kunaldhawan97@gmail.com>
Signed-off-by: Kunal Dhawan <kunaldhawan97@gmail.com>
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Signed-off-by: Kunal Dhawan <kunaldhawan97@gmail.com>
@ko3n1g could you please review, all CICD tests passed |
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Hi @KunalDhawan (cc @pzelasko )
Can we remove these? These are not relevant for canary-flash and we end up passing the same path as argument here and later under model.tokenizers
model_dir: ???
tokens: ["translate", "transcribe", "en", "es", "de", "fr"]
force_rebuild: False # Set to True to build new tokenizer each time.
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What does this PR do ?
Adds model config param table to asr/conf/speech_multitask/fast-conformer_aed.yaml to cover Canary-1B-Flash and Canary-180M-Flash models.
Collection: ASR
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