This presentation will describe the long journey from early speech classification experiments with MLPs in the 1960s to the present day implementations.
[Read More]
This is arguably the largest gain obtained through a single technology in ASR. This talk will describe how this discovery has been further developed towards use in practical systems.
[Read More]
Closing discussion ASRU 2013 What´s wrong with ASR and what can we do about it.
[Read More]
Automatic pattern classifiers that output soft, probabilistic classifications can be more widely and more profitably applied, provided the probabilistic output is well-calibrated.
[Read More]
Large-scale data resources are currently available for a minority of languages and the costs for data collections are prohibitive to all but the most widely spoken and economically viable languages.
[Read More]
ASRU 2013 closing and Best poster prize. The ASRU workshop meets every two years and has a tradition of bringing together researchers from academia and industry in an intimate and collegial setting to...
[Read More]
This presentation will show how speech recognition, natural language processing, and information retrieval techniques are being combined to drive an innovative anticipatory search engine.
[Read More]
ASRU 2013 opening, announcing best paper and best student paper prizes.
[Read More]
Speech production is a highly complex sensorimotor task involving tightly coordinated processing in the frontal, temporal, and parietal lobes of the cerebral cortex.
[Read More]
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...
[Read More]
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.
[Read More]
The robustness of speech recognition systems to acoustic variability is a key factor to their success or failure.
[Read More]
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...
[Read More]
We will review the design, analysis and implementation of several sparsity promoting learning algorithms.
[Read More]
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...
[Read More]
Krátke video, ktoré spája niekoľko tých najlepších motivačných rečí hlavne z rôznych filmov.
[Read More]
Nikdy sa nenechajte vyľakať pri dobrom jedle v reštaurácií.
[Read More]
- « Previous
- 1
- 2
- 3
- 4
Reklama
Top Posts
-
4
-
4
-
4
-
4
-
4
-
4
-
4
-
4
-
4
-
4
Latest Posts
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
Top 365 Days
-
4
-
4
-
4
-
4
-
4
-
4
-
4
-
4
-
4
-
4
All-Time Best
-
121
-
108
-
107
-
107
-
104
-
96
-
94
-
94
-
93
-
91
Top Users (from last 30 days)
-
registrace
10600
-
kolarikpali
5200
-
Slovakiana
400
-
Zirkonium
400
-
robo6
320
-
Anna
200
-
jendrisak
200
-
deklik
200
-
Joshuany
100
-
KODI-INFO
100
Recent Visitors
registrace
robo6
Joshuany
jendrisak
deklik
kolarikpali
Anna
KODI-INFO
Zirkonium
Slovakiana
Need an avatar? Get Gravatar!