Multimedia content over the Internet is very attractive, while the spoken part of such content very often tells the core information. It is therefore possible to index, retrieve or browse multimedia c...
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Speech synthesis is often regarded as a messy problem. This talk will discuss how we can formulate the problem of speech synthesis in a statistical machine learning framework.
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The robustness of speech recognition systems to acoustic variability is a key factor to their success or failure.
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Object recognition is a little like translation: a picture (text in a source language) goes in, and a description (text in a target language) comes out. I will use this analogy, which has proven ferti...
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We will review the design, analysis and implementation of several sparsity promoting learning algorithms.
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The expression and experience of human behavior are complex and multimodal, and are characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication c...
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This task presents several interesting research issues for speech recognition and speech translation technology, such as open domain ASR and MT, clean transcription of spontaneous speech, talk style a...
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Petr Ludwig se zabývá bouráním polopravd a mýtů v oblasti osobního rozvoje. Za tímto účelem založil vzdělávací institut GrowJOB.
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Růst můžeme nejrůznějšími způsoby. Někdy můžeme být až nesví, jak kolem sebe slyšíme, že musíme růst ještě víc a víc. Jak tedy růst, když jsme na hranici svých možností? Jak si objevovat nové příležit...
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