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NeMo: a toolkit for building AI applications using Neural Modules, , , , , , , , , and 4 other author(s). (2019)cite arxiv:1909.09577Comment: 6 pages plus references.Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks., , , , , , , , and . CoRR, (2019)A Toolbox for Construction and Analysis of Speech Datasets., , and . NeurIPS Datasets and Benchmarks, (2021)OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models., , , , , and . CoRR, (2018)NeMo Toolbox for Speech Dataset Construction., , and . CoRR, (2021)Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator., , , , and . CoRR, (2023)Hi-Fi Multi-Speaker English TTS Dataset., , , and . Interspeech, page 2776-2780. ISCA, (2021)A Chat About Boring Problems: Studying GPT-based text normalization., , , , , and . CoRR, (2023)Conformer-Based Target-Speaker Automatic Speech Recognition For Single-Channel Audio., , , and . ICASSP, page 1-5. IEEE, (2023)SPGISpeech: 5, 000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition., , , , , , , , , and 3 other author(s). Interspeech, page 1434-1438. ISCA, (2021)