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🔥 Score 42.3
general • Confidence 38%

Transcripto: CPU‑Friendly Large‑File ASR

Users attempting to run massive multilingual ASR models on CPU‑only systems hit errors with large audio files, causing frustration and wasted effort. Transcripto streamlines the process by automatically segmenting and optimizing large audio for CPU‑based transcription, delivering accurate results with real‑time diagnostics and minimal setup.

Quantitative Score Breakdown

complaint frequency
1.5
growth rate
9
competition density
10.5
monetization potential
9
technical feasibility
7.5
search interest
4.8

Evidence Signal (1)

Raw Posts
hn • r/hackernews

Comment on: Meta AI announces Massive Multilingual Speech code, models for 1000+ languages

I'm trying to use this on a 3M mp3 file to test ASR with language code deu, CPU only, and I keep getting this error -- are there limits to the MMS inference? File "fairseq/data/data_utils_fast.pyx", line 30, in fairseq.data.data_utils_fast.batch_by_size_vec assert max_tokens <= 0 or np.max(num_tokens_vec) <= max_tokens, ( AssertionError: Sentences lengths should not exceed max_tokens=4000000 Traceback (most recent call last): File "/home/xxx/fairseq/examples/mms/asr/infer/mms_infer.py", line 52, in <module> process(args) File "/home/xxx/fairseq/examples/mms/asr/infer/mms_infer