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To accurately recognize speech from different genders, ages, dialects, and speaking speeds—not to mention recordings made in various environments—requires a massive corpus of voice data. All this data must then be accurately transcribed before the models can even begin their training.

For now, ”Voice-Parse” was nothing more than an empty shell.