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I've been following DeepSpeech for a while. They have a WER IN THE 7% range and wave2letters SOTA model is at around 5%. I haven't used wav2letter, but I can r
by zachruss92 7y ago
I've been following DeepSpeech for a while. They have a WER IN THE 7% range and wave2letters SOTA model is at around 5%.
I haven't used wav2letter, but I can run DeepSpeech on my (low powered) laptop with faster than real-time transcription with just the CPU.
- Nimitz14 7y agoIt is misleading to use librispeech WER as a general guide to real world WER. Don't do that.
- londons_explore 7y agoWord error rate depends heavily on dataset. All modern models get to ~human level when tested on individual phrases or sentences. None yet get to human level when the source is many paragraphs long, because the human benefits from context and 'getting used to the accent', which ML has so far not achieved.