Caelrith Intelligence Survey
Research: What objective, signal-based quality metrics (e.g., SNR, clipping, reverberation, speaking-rate or pause detection) are used to automatically flag unusable self-recorded speech samples in remote digital speech assessment pipelines?
No recent research papers matching this query were found in the database.
How this survey was made
This survey answers one question: “What objective, signal-based quality metrics (e.g., SNR, clipping, reverberation, speaking-rate or pause detection) are used to automatically flag unusable self-recorded speech samples in remote digital speech assessment pipelines?”
We keep our own collection of recent preprints and refresh it every day from bioRxiv, medRxiv, arXiv, PsyArXiv, SocArXiv and ChemRxiv. For each survey, we search that collection for recent work and keep the strongest matches: papers that use the same terms as the question, and papers on the same topic in different words.
The text was written from the titles and abstracts of those papers; the full texts were not read. Statements that draw on a particular paper are marked with a number in brackets. The searches behind this survey returned 124 papers, but the text above cites none of them by number. It is not a complete review of everything published on the question.
Treat this as a starting point and a reading list, not a peer-reviewed review. The searches behind this survey ran on October 22, 2026 and covered work from the previous two years.