%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Schnell_SSW11_2021,
                      author = {Schnell, Bastian and Garner, Philip N.},
                    keywords = {Emotion Recognition, emotional speech synthesis, Saliency Mapping, TTS},
                    projects = {NAST, Idiap},
                       month = aug,
                       title = {Improving Emotional TTS with an Emotion Intensity Input from Unsupervised Extraction},
                   booktitle = {11th ISCA Speech Synthesis Workshop},
                        year = {2021},
                         url = {https://www.idiap.ch/paper/ssw11_emotion_intensity/},
                    abstract = {We aim to provide controls for emotion in synthetic speech.  Many emotions are not displayed continuously in an otherwise emotional utterance; rather, the intensity varies with time.  We show that an emotion recogniser is capable of producing a measure of emotion intensity via attention or saliency; this measure is appropriate to label utterances subsequently used to train a speech synthesiser.  We evaluate novel and published means to do this showing that, whilst it is no longer state of the art for emotion recognition, attention is a good way to indicate emotion intensity for speech synthesis.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2021/Schnell_SSW11_2021.pdf}
}