Titlebook: Analyzing Emotion in Spontaneous Speech; Rupayan Chakraborty,Meghna Pandharipande,Sunil Kum Book 2017 Springer Nature Singapore Pte Ltd. 2

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書目名稱Analyzing Emotion in Spontaneous Speech影響因子(影響力)




書目名稱Analyzing Emotion in Spontaneous Speech影響因子(影響力)學(xué)科排名




書目名稱Analyzing Emotion in Spontaneous Speech網(wǎng)絡(luò)公開度




書目名稱Analyzing Emotion in Spontaneous Speech網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Analyzing Emotion in Spontaneous Speech被引頻次




書目名稱Analyzing Emotion in Spontaneous Speech被引頻次學(xué)科排名




書目名稱Analyzing Emotion in Spontaneous Speech年度引用




書目名稱Analyzing Emotion in Spontaneous Speech年度引用學(xué)科排名




書目名稱Analyzing Emotion in Spontaneous Speech讀者反饋




書目名稱Analyzing Emotion in Spontaneous Speech讀者反饋學(xué)科排名

DEFT

Zusammenfassung Klinik und Komplikationen Ial, automatic of Web multimedia documents, etc. In this chapter, we will be discussing two important use cases where we have implemented our methodologies: (1) mining similar affective audio segments in call center conversations [16] and (2) affective impact of movies (one of the task in MediaEval 2015).

桶去微染

過度

dictator

micronutrients

https://doi.org/10.1007/978-3-658-28269-1motions in spontaneous speech, the kind of speech that occurs in our day-to-day conversations. Most importantly, we bring out the several challenges facing automatic recognition of emotion in spontaneous speech which should be of use to researchers and practitioners who want to take up these challenges.

DRILL

Obstacle

Conclusions,the differences between acted, spontaneous, and induced emotions. We observed that for spontaneous speech, it is very challenging to (a) generate spontaneous speech database and (b) to obtain robust emotion annotation of the speech database.

消息靈通

Literature Survey,evoted to the work published in research literature, while in the second part we concentrate on the patent literature, in the third section we review the databases that are useful for speech emotion recognition.

Amplify

Zusammenfassung Klinik und Komplikationen Ievoted to the work published in research literature, while in the second part we concentrate on the patent literature, in the third section we review the databases that are useful for speech emotion recognition.