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Speaker detection in the wild: Lessons learned from JSALT 2019., , , , , , , , , and 14 other author(s). CoRR, (2019)Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation., , , , , , , , , and . ASRU, page 1-7. IEEE, (2023)Représentations Gaussiennes pour le Filtrage Collaboratif., , and . CORIA, ARIA, (2018)A comparison study on patient-psychologist voice diarization., , , , , , , , and . SLPAT@ACL, page 30-36. Association for Computational Linguistics, (2022)Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data., , , , , , , and . LREC, page 6976-6982. European Language Resources Association, (2020)Phonemizer: Text to Phones Transcription for Multiple Languages in Python., and . J. Open Source Softw., 6 (68): 3958 (2021)Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation., , , , , , , , , and . CoRR, (2022)Pyannote.Audio: Neural Building Blocks for Speaker Diarization., , , , , , , , , and . ICASSP, page 7124-7128. IEEE, (2020)Speaker Detection in the Wild: Lessons Learned from JSALT 2019., , , , , , , , , and 14 other author(s). Odyssey, page 415-422. ISCA, (2020)ProsAudit, a prosodic benchmark for self-supervised speech models., , , , , , , , and . INTERSPEECH, page 2963-2967. ISCA, (2023)