Prosody-to-Text: Predicting text from low-pass filtered speech
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Computer Science > Computation and Language
arXiv:2610.11544 (cs)
[Submitted on 8 Oct 2026]
Title:Prosody-to-Text: Predicting text from low-pass filtered speech
View a PDF of the paper titled Prosody-to-Text: Predicting text from low-pass filtered speech, by David Porte\v{s} and Ale\v{s} Hor\'ak
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Abstract:While predicting prosody from text is an established task in the field, the opposite direction, predicting text that fits a given prosodic pattern, remains largely overlooked. We find this unfortunate, because this opposite direction could lead to some very interesting use cases. Therefore, in this paper, we make the first steps in the prosody-to-text direction by inves- tigating how much of the original sentence can be recovered from its prosodic pattern. To this end, we fine-tune the Whis- per model using only the 12 lowest Mel bins (low-pass filter with approximately 450Hz cutoff), and obtain surprisingly accurate results (WER 36%), with 10% of utterances be- ing recovered perfectly, and 40% of utterances having Word Error Rate at or below 25%. We also find that, given the correct prefix, the next token was predicted correctly in 79% of cases. Our results suggest that the relationship between low-frequency speech features and lexical content is much stronger than previously thought, and we believe that direct- ing more attention to this topic might open the door to new applications, such as using prosody to guide text generation of modern LLMs
| Comments: | This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.11544 [cs.CL] |
| (or arXiv:2610.11544v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.11544
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled Prosody-to-Text: Predicting text from low-pass filtered speech, by David Porte\v{s} and Ale\v{s} Hor\'ak
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