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arXiv Computation and Language By Wei Chu, Yuanzhe Dong, Ke Tan, Dong Han, Yichao Zhou, Ruchao Fan, Bingshen Mu, Jingbei Li, Vishwas Shetty, Sarthak Bisht, Ziyue Qiu, Massa Baali, Rita Singh, Bhisha Raj

FA-Bench: A Benchmark for Phone- and Word-Level Timestamp Accuracy in Forced Alignment and ASR on Clean and Noisy Speech

Read the original on arXiv Computation and Language →

FA-Bench is an open framework that standardizes forced alignment evaluation by fixing transcript normalization, data splits, phone mapping, and scoring procedures. It offers two tracks: one with reference transcripts and another with recognizer outputs, evaluated on clean and four degraded audio conditions using 21 open models and 9 commercial APIs. The benchmark scores every utterance boundary with a tolerance‑based F1 metric, revealing systematic timing biases such as Whisper’s 150 ms early alignment and commercial APIs’ 50 ms late alignment.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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