Showing posts with label SPEECH RECOGNITION. Show all posts
Showing posts with label SPEECH RECOGNITION. Show all posts

Tuesday, 22 March 2022

WEBINAR: How to Create a Keyword Spotting System in 20 minutes - 29 March 2022

Workshop Series
How to Create a Keyword Spotting System in 20 minutes
Register Today

Date: Tuesday, March 29, 2022
Time: 9:00 am PDT | 4 pm UTC | 6:00 pm EET
Duration: 27 minutes

In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. In this demonstration, you will learn how to capture data using an Arduino board and classify spoken words using Edge Impulse.

Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse

Optional Hardware: Arduino Nano 33 BLE Sense

Preperation: Free sign-up at https://studio.edgeimpulse.com/signup

Register Today

Monday, 28 January 2019

Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native by/via via @fbOpenSource

The Facebook AI Research (FAIR) Speech team is sharing the first fully convolutional speech recognition system. It uses convolutional neural networks (CNNs) for acoustic modeling and language modeling, and is reproducible. The team says that wav2letter++ is composed only of convolutional layers, which yields performance that’s competitive with recurrent architectures.

There are two articles linked of the landing page from the links in this post. This reads as a great achievement and looks very interesting.

Tuesday, 8 May 2018

WEBINAR: Combining Human Intelligence with ML for NLP and Speech - 17 May 2018

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Overview
Title: Combining Human Intelligence with Machine Learning for NLP and Speech
Date: Thursday, May 17, 2018
Time: 09:00 AM Pacific Daylight Time
Duration: 1 hour
Summary
Combining Human Intelligence with Machine Learning for NLP and Speech
Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to annotate, especially if some categories/words/topics are very rare in the data. It is also difficult to find and manage the right people to annotate, transcribe or create the data, especially when the use case requires domain expertise or certain languages and accents.
Join this latest Data Science Central webinar and learn how to incorporate better active learning and annotation strategies into your NLP projects to achieve better in your NLP and Speech applications.  This webinar will include a brief demo of the Figure Eight platform to show how to generate high-quality, human-annotated training data and incorporate that training data into human-in-the-loop machine learning systems that you can run in your own environment.
Speaker:
Robert Munro, Chief Technology Officer -- Figure Eight

Hosted by:
Bill Vorhies, Editorial Director -- Data Science Central
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Register here

Saturday, 26 August 2017

10 Artificial Intelligence (AI) Technologies that will rule 2018 by Biplab Ghosh via Knowstartup

Artificial Intelligence is changing the way we think of technology. It is radically changing the various aspects of our daily life. Companies are now significantly making investments in AI to boost their future businesses.

Great list of technologies that if you have not experienced them yet then you will experience them soon in your working life.