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Data · dataset · 2026

CANDORspeech: A large-scale corpus of phonetically annotated conversational speech from dyadic online conversations with human quality control

Listed in SWISSUbase

Existing speech corpora for phonetic analysis are typically recorded in controlled environments, have restricted sample sizes (in terms of voices and materials recorded), and frequently focus on read speech, making them less suitable for studying naturalistic speech and voice phenomena.

Description

The CANDOR corpus (Reece et al., 2023) was recently introduced as a large multimodal dataset of naturalistic conversations containing audio and video from 1656 dyadic conversations in English.

This dataset presents CANDORspeech - a transcribed, force aligned and manually screened audio subset of the original CANDOR corpus. We outline the processing pipeline and the resulting CANDORspeech corpus with around 30 utterances from more than 900 speakers (more than 26,000 utterances in total). The corpus is suitable for large-scale phonetic analysis, voice feature extraction, and perceptual testing of naturalistic within-speaker variability.

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Catalogue records · 1

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Inferred from text
Audio 75% · Video 75%
Provenance · 1 source records, 9 field assertions
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SWISSUbaseoai:swissubase.ch:c5d8ddd8-4f55-4f4b-96a0-daeb041b751712 d agoJSON v1
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concepts[modality].local:modality:audioenrichment · swissubase chkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:videoenrichment · swissubase chkeyword-concept-rules@1.0.0title+description (75%)
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