{"references": ["Radford, Alec et al. \"Robust Speech Recognition via Large-Scale Weak Supervision.\" (2022).", "Kuchaiev, O, Li, J, Nguyen, H, Hrinchuk, O, Leary, R, Ginsburg, B, Kriman, S, Beliaev, S, Lavrukhin, V, Cook, J, Castonguay, P, Popova, M, Huang, J, Cohen, J. NeMo: a toolkit for building AI applications using Neural Modules.", "Baevski, A, Zhou, H, Mohamed, A, Auli, M. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.", "Lugosch, L., Likhomanenko, T., Synnaeve, G., & Collobert, R.. (2021). Pseudo-Labeling for Massively Multilingual Speech Recognition."]}

Overview This app is intended to automatically create a corpus for ASR systems using pseudo-labeling. Features Send links of YouTube content Send direct links to video/audio from remote servers Collect metadata Loudness Label language detection Audio language detection Export labeled data using a console whisper, wav2vec2, or NeMo as an ASR backend More details: https://github.com/egorsmkv/asr-corpus-creator