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This technical report describes the system participating to the Detection andClassification of Acoustic Scenes and Events (DCASE) 2020 Challenge, Task 6:automated audio captioning. Our submission focuses on solving two indeterminacyproblems in automated audio captioning: word selection indeterminacy andsentence length indeterminacy. We simultaneously solve the main captiongeneration and sub indeterminacy problems by estimating keywords and sentencelength through multi-task learning. We tested a simplified model of oursubmission using the development-testing dataset. Our model achieved 20.7SPIDEr score where that of the baseline system was 5.4.

The NTT DCASE2020 Challenge Task 6 system: Automated Audio Captioning with Keywords and Sentence Length Estimation