Adapting TTS for Accented ATC Communications
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This dataset is prepared for training the Voxtream TTS model and follows the format of herimor/voxtream-train-9k.
Source: Based on the Singaporean SG Eleven dataset: aether-raid/sg-aviation-el-combined
Description:
.npy files:mimi_codes_16cb.npy: Mimi codec tokens (16 codebooks)phone_emb_indices.npy: Alignment of phoneme tokens to Mimi framesphone_tokens.npy: Phoneme tokenssem_label_shifts.npy: Monotonic phoneme alignment labelsspk_templates.npy: Speaker templates (first 3 seconds, if available)uids.npy contains the list of utterance IDs, matching the batch dimension of all features.Usage: See herimor/voxtream-train-9k for loading and training examples.
License: See original dataset for licensing and usage restrictions.