Abstract It is well known that information is embedded in the speech signal as smooth variations over time and frequency. Since the 90’s, feature-extraction front-ends have routinely exploited this fact in the form of subband-modulation[…]
View Seminar Video Abstract Human expressive communication is characterized by the continuous flow of multimodal information, such as vocal, facial and bodily gestures, which may convey the participant’s affect. Additionally, the emotional state of a[…]
Abstract Language understanding and semantic inference are crucial for solving complex natural language applications, from intelligent personal assistants to automatic summarization systems. However, current systems often require hand-coded information about the domain of interest, an[…]
Abstract Deep learning has been highly successful in recent years mostly thanks to progress in algorithms for training deep but supervised feedforward neural networks. These deep neural networks have become the state-of-the-art in speech recognition,[…]
Abstract Twitter and other social media sites contain a wealth of information about populations and has been used to track sentiment towards products, measure political attitudes, and study social linguistics. In this talk, we investigate[…]
Abstract Cross-linguistic differences in speech perception arise early in development and persist into adulthood. These differences are typically attributed to listeners’ early experience with their native language, but the precise connection between phonetic knowledge and[…]
[sz-vimeo url=”http://vimeo.com/87341704″/] Abstract Speech processing systems require access to recordings of the speaker’s voice. A person’s voice carries information about their gender, nationality etc., all of which become accessible to the system, which could abuse[…]
