Batch Text To Speech Processing

via “batch synthesis with multi-sample processing”

text-to-speech model by undefined. 69,91,040 downloads.

Unique: Implements efficient batched inference by processing multiple text inputs and speaker embeddings in parallel through the acoustic model, with vectorized vocoding operations that maximize GPU utilization. Batch size is dynamically configurable based on available VRAM.

vs others: Achieves higher throughput than sequential TTS synthesis by leveraging GPU parallelization; more efficient than making multiple API calls to cloud TTS services because it amortizes model loading and GPU setup overhead across multiple samples.