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This paper introduces RyanSpeech, a new speech corpus for research on automated text-to-speech (TTS) systems.
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M. Honnibal, I. Montani, S. Van Landeghem, and A. Boyd, “spaCy: Industrial-strength Natural Language Processing in Python,” 2020. [Online]. Available: https://doi.org/10.5281/zenodo.1212303
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R. Yamamoto, E. Song, and J.-M. Kim, “Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 6199–6203
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“M-ailabs,” https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/. , the m-ailabs speech dataset
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F. Dino, R. Zandie, H. Abdollahi, S. Schoeder, and M. Mahoor, “Delivering cognitive behavioral therapy using a conversational social robot,” in Intelligent Robots and Systems (IROS), IEEE/RSJ International Conference on , 2019
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“Voxforgedataset,” voxforge.org , free Speech Recognition,
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T. Hayashi, R. Yamamoto, K. Inoue, T. Yoshimura, S. Watanabe, T. Toda, K. Takeda, Y. Zhang, and X. Tan, “Espnet-TTS: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit,” in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7654–7658
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H. Abdollahi, M. H. Mahoor, R. Zandie, J. Siewierski, and S. H. Qualls, “Artificial emotional intelligence in socially assistive robots for older adults: A pilot study,” IEEE Transactions on Affective Computing , p. Under review, 2021
2021
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