
Worked on enhancing the IndexTTS repository by developing batch inference capabilities for long sentences, resulting in substantial speed improvements and reduced latency for single-sentence inference. Leveraged Python and CUDA to implement data bucketing for improved stability and introduced Mel spectrogram caching to accelerate prompt processing. Improved build robustness for CUDA kernels, particularly addressing Chinese-path compatibility and integrating a BigVGAN fused CUDA kernel patch. Enhanced GPT model activation by adding gelu_pytorch_tanh and streamlined inference through warning suppression. Focused on performance optimization and model configuration, the work demonstrated depth in deep learning inference, speech synthesis, and build system engineering within a one-month period.
April 2025 Monthly Summary for
April 2025 Monthly Summary for

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