🚀 go-pugleaf

RetroBBS NetNews Server

Inspired by RockSolid Light RIP Retro Guy

Article View: cu.cs.ugrads
Article #1234

Re: CS Colloq for 10/3/96 - Mozer

#1234
From: SAAM CHRISTOPHER J
Date: Wed, 25 Sep 1996 00:00
65 lines
3106 bytes


On Wed, 25 Sep 1996, Pat Libhart wrote:

> CS COLLOQUIUM
> 
> Neural Network Speech Processing
> For Toys and Consumer Electronics
> 
> Michael C. Mozer
> University of Colorado, Boulder and
> Sensory Circuits, Inc.
> 
> October 3, 1996
> 3:45 - 4:45 pm
> Engineering Center Classroom 265
> 
> Refreshments will be served at 3:30 pm
> 
> The ongoing challenge in speech research is recognizing continuous,
> unconstrained speech.  In comparison, isolated word recognition with small
> vocabularies is easy.  Many commercial efforts are aimed at the high-end
> problem.  Sensory Circuits has successfully focused on the low end,
> producing a family of low-cost speech recognition chips for toys, consumer
> electronics,
> electronic learning aids, and home appliances.  The chips are based on a 4
> MIPS 8-bit microcontroller with on board AGC, A/D, D/A, and digital
> filtering.  The microcontroller can be programmed for speaker-independent
> or dependent recognition, voice verification (recognizing a stored password
> spoken by particular speaker), polyphonic music synthesis, speech
> synthesis,
> voice record and playback, and has enough power to drive and communicate
> with the application product.  The speech recognition and voice
> verification products are neural-network based.  Speaker-independent
> recognition of up-to-10 word vocabularies achieves accuracies of 95-98%.
> Speaker-dependent recognition of vocabularies of up-to-20 items has an
> accuracy greater than
> 99%.  The chip can be programmed to handle larger vocabularies by
> context-dependent switching of recognition sets.  The neural net
> architectures are fairly standard, but the hardware and real-world usage
> impose some interesting challenges, including speed constraints which
> necessitate integer arithmetic, very limited RAM, and on-line speaker
> adaptation.  I will demo
> various products with neural network speech recognition.
> 
> Host:  Dirk Grunwald
> ------------------------------
> http://www.cs.colorado.edu/~grunwald/Colloquia.html
> 
> 
> 
> ***********************************
> Pat Libhart
> Department of Computer Science
> University of Colorado
> Campus Box 430, ECOT 717
> Boulder, CO  80309-0430
> Phone:  (303)492-7514
> Fax:  (303)492-2844
> e-mail:  libhart@cs.colorado.edu
> ***********************************
> 
> 
So if I have this chip I'll know what the heck your talking about?
Technical Details
Message-ID: <843684129.26585@news.Colorado.EDU>
Path: arc1-ca.pugleaf.net!unknown!not-for-mail

Show Full Headers
Complete Article Headers
X-Google-Language: ENGLISH,ASCII-7-bit
X-Google-Thread: 11534c,f7d2c7efa7d7420c
X-Google-Attributes: gid11534c,public
From: SAAM  CHRISTOPHER J <Christopher.Saam@colorado.edu>
Subject: Re: CS Colloq for 10/3/96 - Mozer
Date: 1996/09/25
Message-ID: <843684129.26585@news.Colorado.EDU>
X-Deja-AN: 185328153
distribution: co
sender: daemon@lace.colorado.edu
content-type: TEXT/PLAIN; charset=US-ASCII
x-note1: message-id generated by recnews
x-note2: mail msgid was   <Pine.GSO.3.95.960925143758.22801A-100000@ucsu.Colorado.EDU>
organization: University of Colorado at Boulder
mime-version: 1.0
newsgroups: cu.cs.ugrads