IHWAL PODCAST INI 🔗
Human Language Technology Lecture Series
Frekuensi pembaruan:
every 131 days
Panjang audio rata-rata:
70 minutes
Inggris
Amerika Serikat
7 episode
sejak 20 Des. 2013
episodic
EPISODE TERBARU 🔗
The confluence of sensing, communication and computing technologies is allowing capture and access to data, in diverse forms and modalities, in ways that were unimaginable even a few years ago. These include data that afford the analysis and interpretation of multimodal cues of verbal and non-verba…
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EPISODE SEBELUMNYA 🔗
Human-like Singing and Talking Machines: Flexible Speech Synthesis in Karaoke, Anime, Smart Phones, Video Games, Digital Signage, TV and Radio Programs
This talk will give an overview of statistical approach to flexible speech synthesis. For constructing human-like talking machines, speech synthes…
Clarification in Spoken Dialogue Systems such as in mobile applications often consists of simple requests to “Please repeat” or “Please rephrase” when the system fails to understand a word or phrase. However, human-human dialogues rarely include such questions. When humans ask for clarification of …
Automatically extracting social meaning from language is one of the most exciting challenges in natural language understanding. In this talk I’ll summarize a number of recent results using the tools of natural language processing to help extract and understand social meaning from texts of different…
What effect does language have on people, and what effect do people have on language?
You might say in response, "Who are you to discuss these problems?" and you would be right to do so; these are Major Questions that science has been tackling for many years. But as a field, I think natural langua…
As speech recognition continues to improve, new applications of the technology have been enabled. It is now common to search for information and send accurate short messages by speaking into a cellphone - something completely impractical just a few years ago. Another application that has recently b…
In contrast to traditional rule-based approaches to building spoken dialogue systems, recent research has shown that it is possible to implement all of the required functionality using statistical models trained using a combination of supervised learning and reinforcement learning. This new approac…
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