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README.md
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## Model Description
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<!-- Provide a longer summary of what this model is. -->
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Two versions of pretrained W2V2 models are available:
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Two pretrained ECAPA-TDNN speaker embeddings are available:
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- **ECAPA_TDNN_LB/embedding_model.ckpt
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- **ECAPA_TDNN_LB_LENA/embedding_model.ckpt
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## Uses
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**We develop our complete fine-tuning recipe using SpeechBrain toolkit available at**
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## Model Description
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<!-- Provide a longer summary of what this model is. -->
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Two versions of pretrained W2V2 models **using fairseq** are available:
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- **LB_1100/checkpoint_best.pt**: pretrained using 1100-hour of LB home recordings collected from 110 families of children under 5-year-old
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- **LL_4300/checkpoint_best.pt**: pretrained using 1100-hour of LB home recordings collected from 110 families + 3200-hour of LENA home recordings from 275 families of children under 5-year-old
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One version of fine-tuned W2V2 models on labeled LB and LENA data **using SpeechBrain** is available:
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- **LL_4300_fine_tuned**: fine-tuned on labeled LB and LENA home recordings + labeled lab recordings
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Two pretrained ECAPA-TDNN speaker embeddings are available:
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- **ECAPA_TDNN_LB/embedding_model.ckpt**: pretrained using 12-hour of labeled LB home recordings collected from 22 families of infants under 14-month-old
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- **ECAPA_TDNN_LB_LENA/embedding_model.ckpt**: pretrained using 12-hour of labeled LB home recordings collected from 22 families + 18-hour of labeled LENA home recordings from 30 families of infants under 14-month-old
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## Uses
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**We develop our complete fine-tuning recipe using SpeechBrain toolkit available at**
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