[Lisa_teatalk] [Lisa_labo] Tea talks tomorrow, Apr 22nd, 14:30

Harm de Vries mail at harmdevries.com
Fri Apr 22 17:16:31 EDT 2016


Thanks everybody for playing! Also thank you for the feedback we've already
received - if you have any further comments please do let us know.

Glorious winner of this session is..... *Marcin! *He will receive Pedro
Domingos' new book: the master algorithm.



On Fri, Apr 22, 2016 at 3:19 PM, Harm de Vries <mail at harmdevries.com> wrote:

> https://ancient-ravine-83370.herokuapp.com/game
>
> On Thu, Apr 21, 2016 at 3:30 PM, Jörg Bornschein <bornj at iro.umontreal.ca>
> wrote:
>
>> Here is another last-minute announcement for our Friday tea talk tomorrow:
>>
>> First we will have Mirco Ravanelli, who recently joined MILA, talk about
>> "Some insights into distant speech recognition" (abstract below).
>>
>> Subsequent to the talk Harm de Vries, Sarath Chandar and Aaron Courville
>> will present and betatest "GuessWhat?!" - their new data collection game.
>> Don't forget to bring your laptop!
>>
>> PS we will bring some beers!
>> PS2 the best player will be awarded a special prize!
>>
>> Where: AA3195
>> When: Friday, Apr. 22nd, 14:30
>>
>> Abstract for Mircos talk:
>>
>> Some insights into distant speech recognition
>>
>> Building computers that understand speech represents a crucial step
>> towards easy-to-use human-machine interfaces. Despite the significant
>> progress made in the last decade, state-of-the-art speech recognition
>> technologies provide a satisfactory performance only in close-talking
>> scenarios, forcing the users to speak close to a microphone-equipped
>> device. However, it is easy to predict that in the future people will
>> prefer to relax the constraint of handling or wearing any device to access
>> speech recognition services, requiring techniques able to better cope with
>> distant-talking interactions even in adverse acoustic conditions.
>> This talk will briefly discuss some important applications of this
>> emerging technology and will highlight  prominent issues of current
>> systems.   In the final part of the talk a new architecture solely based on
>> machine-learning techniques, which is  potentially able to better
>> counteract the harmful effects of noise and reverberation, is proposed to
>> overcome the major limitations of state-of-the-art technology.
>>
>>
>> _______________________________________________
>> Lisa_labo mailing list
>> Lisa_labo at iro.umontreal.ca
>> https://webmail.iro.umontreal.ca/mailman/listinfo/lisa_labo
>>
>>
>
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