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  # Non-timbral Embeddings extractor
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- This model produces embeddings that represent the non-timbral traits (prosody, accent, ...) of a speaker's voice. These embeddings can be used the same way as for a classical
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  speaker verification (ASV): to compare two voice signals, extract an embeddings for each of them and compute the cosine similarity between the two embeddings.
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  The main difference with classical ASV embeddings is that here only the non-timbral traits are compared.
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  # Non-timbral Embeddings extractor
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+ This model produces embeddings that globally represent the non-timbral traits (prosody, accent, ...) of a speaker's voice. These embeddings can be used the same way as for a classical
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  speaker verification (ASV): to compare two voice signals, extract an embeddings for each of them and compute the cosine similarity between the two embeddings.
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  The main difference with classical ASV embeddings is that here only the non-timbral traits are compared.
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