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Introduced by Majumder et al. inInterview: A Large-Scale Open-Source Corpus of Media Dialog

Introduced by Qader et al. in Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset

GUM is an open source multilayer English corpus of richly annotated texts from twelve text types.

DISRPT2021 shared task on Discourse Unit Segmentation, Connective Detection and Discourse Relation Classification

The Tongue and Lips (TaL) corpus is a multi-speaker corpus of ultrasound images of the tongue and video images of lips.

VoxForge is an open speech dataset that was set up to collect transcribed speech for use with Free and Open Source Speech Recognition Engines (on Linux, Windows and Mac).

Introduced by O'Neill et al. in SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition

Introduced by Ha et al. in ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

Introduced by Radeck-Arneth et al. in Open Source German Distant Speech Recognition: Corpus and Acoustic Model

Introduced by Zhou et al. in Emotional Voice Conversion: Theory, Databases and ESD

The MRDA corpus consists of about 75 hours of speech from 75 naturally-occurring meetings among 53 speakers.

Introduced by Havard et al. in SPEECH-COCO: 600k Visually Grounded Spoken Captions Aligned to MSCOCO Data Set