speech recognition
description: automatic conversion of spoken language into text
261 results
The Everything Blueprint: The Microchip Design That Changed the World
by James Ashton · 11 May 2023 · 401pp · 113,586 words
-of-the-art ML (machine learning) models but at lower power consumption compared to previous Pixel phones’.22 She gave the example of using automatic speech recognition on long-running applications such as a recorder without draining the battery quickly. Chinese handset maker Huawei had long used its own Kirin chips, made
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silicon wafer after bulk fabrication. Digital signal processor (DSP) A specialist microprocessor that compresses analogue signals and is used widely in telecommunications, digital imaging and speech recognition. Embedded system A computer combining a processor with memory and some peripherals that has a dedicated function with a larger mechanical or electronic system. Encapsulation
Python Data Analytics: With Pandas, NumPy, and Matplotlib
by Fabio Nelli · 27 Sep 2018 · 688pp · 107,867 words
operations, which until recently were thought of as “exclusive human relevance”. These operations include:Image recognition Object detection Object segmentation Language translation Natural language understanding Speech recognition These are the problems still under study thanks to the deep learning techniques. Machine Learning Is a Branch of Artificial Intelligence In the previous chapter
Age of Context: Mobile, Sensors, Data and the Future of Privacy
by Robert Scoble and Shel Israel · 4 Sep 2013 · 202pp · 59,883 words
an Apple iOS mobile app. Targeted to young teens, iLocket lets users whisper their most personal secrets into an iPhone or iPad. The app uses speech recognition. Put in a favorite photo of a secret heartthrob and the app prints a photo that fits perfectly inside the locket. The killer part of
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
by Michael Kearns and Aaron Roth · 3 Oct 2019
are an important component of the collection of techniques known as deep learning, which has resulted in qualitative improvements in machine learning for image classification, speech recognition, automatic natural language translation, and many other fundamental problems. (The Turing Award, widely considered the Nobel Prize of computer science, was recently awarded to Yoshua
Valuation: Measuring and Managing the Value of Companies
by Tim Koller, McKinsey, Company Inc., Marc Goedhart, David Wessels, Barbara Schwimmer and Franziska Manoury · 16 Aug 2015 · 892pp · 91,000 words
competitors. For example, Apple bought Siri (the automated personal assistant) in 2010 to enhance its iPhones. More recently, in 2014, Apple purchased Novauris Technologies, a speech recognition technology company, to further enhance Siri’s capabilities. In 2014, Apple also purchased Beats Electronics, which had recently launched a music-streaming service. One reason
Hello World: Being Human in the Age of Algorithms
by Hannah Fry · 17 Sep 2018 · 296pp · 78,631 words
Algorithms often need to remove some information to focus on what’s important, to separate the signal from the noise. Sometimes they do this literally: speech recognition algorithms, like those running inside Siri, Alexa and Cortana, first need to filter out your voice from the background noise before they can get to
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–8, 179 Sorensen, Alan 178 Soviet Union detection of enemy missiles 18 protecting air space 18 retaliatory action 19 specificity, principle of 87, 87–8 speech recognition algorithms 9 Spotify 176, 188 Spotify Discover 188 Sreenivasan, Sameet 181–2 Stammer, Neil 172 Standford University 39–40 STAT website 100 statistics 143 computational
Data Mining in Time Series Databases
by Mark Last, Abraham Kandel and Horst Bunke · 24 Jun 2004 · 205pp · 20,452 words
that introduced this measure in the datamining community. Recent works on DTW are [27,31,45]. DTW has been first used to match signals in speech recognition [38]. DTW between two sequences A and B is described by the following equation: DTW (A, B) = Dbase (am , bn ) + min{DTW (Head(A), Head
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. In particular time series can be effectively represented by strings. Numerous applications have been found in a broad range of fields including computer vision [2], speech recognition, and molecular biology [13,34]. 173 174 X. Jiang, H. Bunke and J. Csirik A large number of operations and algorithms have been proposed to
Succeeding With AI: How to Make AI Work for Your Business
by Veljko Krunic · 29 Mar 2020
of operating on much larger datasets. Analysis that used to require human involvement is now possible to do with computers in areas like image and speech recognition. Thanks to this new AI-powered capability, whole Sense/Analyze/React loops became viable in these contexts, when it wasn’t economical to apply them
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organization, but a whole community. An example is the NLP community, which often uses a relatively standardized form of the pipeline. Historical efforts of the speech recognition community also have led to a standardized pipeline [90]. In some situations, whole AI communities might be facing the possibility that the current standard pipeline
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needs to be changed. For example, the advance of deep learning caused a need for significant changes in the traditional speech recognition pipeline [90]. The ML pipeline’s ossification is compounded if data science and data engineering are in separate groups in the organization. In that situation
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.unsupervised learning 183 sentiment analysis 32 smart parking meters 142–146 smart speakers 40 smart thermostats 30, 38, 198 smart, internet-connected oven 64–65 speech recognition 31, 120 stock market investments 137 streaming analytics 30 Support-Vector Machines (SVMs) 129, 134 T team dynamics 128–129 technical metrics 17 business metrics
Rise of the Robots: Technology and the Threat of a Jobless Future
by Martin Ford · 4 May 2015 · 484pp · 104,873 words
performance, especially when multiple layers of neurons are employed—a technology that has come to be called “deep learning.” Deep learning systems already power the speech recognition capability in Apple’s Siri and are poised to accelerate progress in a broad range of applications that rely on pattern analysis and recognition. A
Financial Statement Analysis: A Practitioner's Guide
by Martin S. Fridson and Fernando Alvarez · 31 May 2011
&H) withdrew its clean opinion of the company's 1998 and 1999 financials. The action followed a November 9 announcement by the Belgian producer of speech-recognition and translation software that an internal investigation had uncovered accounting errors and irregularities that would require restatement of results for those two years and the
Why Startups Fail: A New Roadmap for Entrepreneurial Success
by Tom Eisenmann · 29 Mar 2021 · 387pp · 106,753 words
Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers
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Why Machines Learn: The Elegant Math Behind Modern AI
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Data Mining: Concepts, Models, Methods, and Algorithms
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Future Files: A Brief History of the Next 50 Years
by Richard Watson · 1 Jan 2008
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The Creativity Code: How AI Is Learning to Write, Paint and Think
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The AI-First Company
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Driverless: Intelligent Cars and the Road Ahead
by Hod Lipson and Melba Kurman · 22 Sep 2016
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Freedom
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Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
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The Singularity Is Near: When Humans Transcend Biology
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Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies
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The Art of Statistics: Learning From Data
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Radical Markets: Uprooting Capitalism and Democracy for a Just Society
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Our Final Invention: Artificial Intelligence and the End of the Human Era
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Future Crimes: Everything Is Connected, Everyone Is Vulnerable and What We Can Do About It
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
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API Marketplace Engineering: Design, Build, and Run a Platform for External Developers
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Artificial Whiteness
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Reset
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Possible Minds: Twenty-Five Ways of Looking at AI
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Your Face Belongs to Us: A Secretive Startup's Quest to End Privacy as We Know It
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Four Battlegrounds
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AI in Museums: Reflections, Perspectives and Applications
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The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
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Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
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Talk to Me: How Voice Computing Will Transform the Way We Live, Work, and Think
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The Art of Statistics: How to Learn From Data
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Outnumbered: From Facebook and Google to Fake News and Filter-Bubbles – the Algorithms That Control Our Lives
by David Sumpter · 18 Jun 2018 · 276pp · 81,153 words
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by Jesse Norman · 30 Jun 2018
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Natural Language Annotation for Machine Learning
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