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sherpa-onnx/python-api-examples
Joe Cheng 7be9a38e27 Whisper timestamps (#2945)
This pull request significantly enhances the Whisper integration by introducing comprehensive timestamping capabilities. It provides both fine-grained token-level timestamps, derived from cross-attention weights using Dynamic Time Warping, and broader segment-level timestamps, based on Whisper's native timestamp tokens. This allows for more detailed temporal alignment of transcribed text with audio, which is crucial for applications like subtitle generation and improving the handling of long audio inputs. The changes span model export utilities, core C++ logic, and Python API bindings to fully support these new features.
2026-02-05 13:10:37 +08:00
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2025-10-10 10:54:32 +08:00
2026-01-27 12:10:05 +08:00
2024-12-04 09:22:24 +08:00

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