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Fast Forced Aligner
Fast Forced Aligner is a Python package that turns CTC frame scores and transcripts into batched GPU alignments.
Fast Forced Aligner turns CTC frame scores and a known transcript into batched GPU alignments using Python. It accepts contiguous CUDA FP32 emissions and CUDA int64 target IDs, returning token labels and scores for every audio frame. The package includes both an optimized alignment kernel that uses parallel chunks and greedy shortcuts, and a conventional CTC dynamic programming mode. It is designed for developers who need high-throughput audio alignment using existing CTC models like those from Hugging Face Transformers. The software runs on CUDA-compatible GPUs and processes variable-length recordings in batches without padding.
Fast Forced Aligner at a glance
Key features
- Turn CTC frame scores and transcripts into batched GPU alignments
- Process variable-length recordings in batches without padding
- Use optimized alignment kernels for high aggregate throughput
- Run conventional CTC dynamic programming through the Python API
- Keep results and target validation on the GPU
- Bypass chunk dynamic programming with eligible greedy paths
Use it for
- Aligning audio frame scores with transcripts on the GPU
- Processing variable-length audio recordings in high-throughput pipelines
- Replacing slower CPU-based alignment tools with GPU-accelerated kernels
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All Fast Forced Aligner alternatives