In Angami, Ao, and Mizo, pre-trained wav2vec2 models recognize tones best from middle layers, with Mizo highest (88% F1) and Angami lowest (61% F1).
Lexical Tone Recognition in Mizo Using Acoustic-Prosodic Features
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Tone recognition in low-resource languages of North-East India: peeling the layers of SSL-based speech models
In Angami, Ao, and Mizo, pre-trained wav2vec2 models recognize tones best from middle layers, with Mizo highest (88% F1) and Angami lowest (61% F1).