@techreport{oai:ipsj.ixsq.nii.ac.jp:00214118,
 author = {Sashi, Novitasari and Sakriani, Sakti and Satoshi, Nakamura and Sashi, Novitasari and Sakriani, Sakti and Satoshi, Nakamura},
 issue = {24},
 month = {Nov},
 note = {This paper focuses on the machine speech chain mechanism for improving the intelligibility of synthesized speech in noisy conditions. Our proposed text-to-speech synthesis (TTS) system synthesizes a speech by adapting to the situation. It will speak with a Lombard effect and high intelligibility in noisy conditions by processing auditory feedback that consists of speech-to-signal ratio (SNR) and automatic speech recognition (ASR) system loss. Our experiments show that auditory feedback improves TTS intelligibility in noisy environments., This paper focuses on the machine speech chain mechanism for improving the intelligibility of synthesized speech in noisy conditions. Our proposed text-to-speech synthesis (TTS) system synthesizes a speech by adapting to the situation. It will speak with a Lombard effect and high intelligibility in noisy conditions by processing auditory feedback that consists of speech-to-signal ratio (SNR) and automatic speech recognition (ASR) system loss. Our experiments show that auditory feedback improves TTS intelligibility in noisy environments.},
 title = {Improving Intelligibility of Synthesized Speech in Noisy Condition with Dynamically Adaptive Machine Speech Chain},
 year = {2021}
}