Breaking the Mold Award at the National MBE Manufacturers' Summit hosted by the Atlanta MBDA Business Center -- Enterprise Innovation Institute at Georgia Institute of Technology

Mr. Di Laurenti, born in Milan, Italy, is the founder of The Sunshine Group and directs programs to transform properties for development, such as hotels and resorts.

The Utah-based private sector company donated $100K during federal shutdown

Robert J. Binstock, of Houston, Texas, is honored by the International Association of Who's Who as one of America's Most Influential Attorneys for his extensive achievements within the field of Law.

Kristine Vowles combines multiple specialties into one fulfilling career.

The world is ripe for a new shift in the use of facial recognition by organizations. VR Office Place is proud to present real time social fingerprint identification in the form of facial recognition and publicly available social presence.

Claudia Scheibel is a Venue Consultant at Global Cynergies where she spearheads sales, negotiation and consulting.

eTutorWorld introduces a new CogAT test prep learning program in 2020. After SCAT, this would be the second gifted program by them. Their unique content and tutoring that is based on "Learning by Design" can be a gamechanger for CogAT Test Prep.

NuWave's Virtual Anticipation Network and Enterprise (VANE) solution was recognized by Washington Technology, as one of the best examples of discovery and innovation in government IT.

Top 50 Wealth Management Advisors rankings released by Wealth Professional Magazine.

von Borstel's career in financial planning and wealth management spans over 35 years, during which he has amassed an impressive array of accolades.

Charles 'Chuck' Prentiss, of Lauderdale by the Sea, Florida, is honored by the International Association of Who's Who as Most Influential in Entertainment for his exemplary achievements within the fields of Arts and Entertainment.

Mr. Fred Thomas Martin, Oakland, CA, is honored by the International Association of Who's Who for his work and dedication in the fields of Art and Education, earning the role of Dean of Academic Affairs Emeritus.

The Paterson Music Project, a program of the Wharton Institute for the Performing Arts, was honored for its impact in Paterson with the Dr. Martin Luther King Youth Recognition Award.

Gary P. Fitzgerald, CPA, of Vienna, VA, is honored by the International Association of Who's Who as an Expert in Tax and Accounting for his expertise within the field of Accounting.

Daniel O. Hands of Oakbrook, Illinois, is honored by the International Association of Who's Who as one of Illinois Top Attorneys in Estate Planning Asset Protection for his extensive achievements within the field of Law.

Ms. Marilyn Klinger of Los Angeles, California, is honored by the International Association of Who's Who as one of America's Most Influential Attorneys for her achievements within the field of Law.

Ruth Barrett of Woodbridge, Virginia is honored by the International Association of Who's Who with the 2020 Distinguished Author Award

Laura Winckel of Harker Heights, Texas is recognized by the International Association of Who's Who for exemplary achievements for her Quality Craftsmanship and Entrepreneurial Savvy as Owner of Quality Quilts by Laura.

Afterglow includes live music, food, networking and more!

This marks the 3rd consecutive award the Houston personal injury firm has received for the quality of service it offers clients.

Wayne von Borstel has been recognized by LPL Financial as one of the country's best financial advisors for the past 18 consecutive years.

David S. Hagen, of Encino, California, is honored by the International Association of Who's Who as an Expert in Bankruptcy Law for his outstanding contributions within the field of Law.

David Zweig, author of "Invisibles," on employees who value good work over self-promotion.

The recipients of the 2020 Recognition of Achievement in Safety Excellence and Recognition of Achievement in Zero Injury programs will be posted on the NECA Recognition of Safety Achievement Program website in the near future. There were 159 Recognition of Achievement in Safety Excellence and 90 Recognition of Achievement in Zero Injury winners for 2020. These recipients will each receive plaques commemorating their accomplishment and be recognized during a session at the 10th Annual NSPC in Chicago, IL later this year. Thank you to all the companies that submitted their applications and continue to strive for Safety Excellence and Zero Injuries in the Electrical Industry.

The new revenue recognition standard includes important provisions that manufacturers need to be aware of. Effective 1/1/2019 for private companies with calendar year ends, the new standards will change the way manufacturing companies recognize revenue.
Variable Consideration
Manufacturing companies will… Read More

The post How the New Revenue Recognition Standard Will Impact Manufacturers appeared first on Anders CPAs.

With the inundation of big data, enterprises are constantly on the prowl for advanced solutions such as AI-based cognitive search platforms that significantly help cut down on time and cost

I am a firm believer in The 7 Habits of Highly Effective People, by Stephen Covey. If you've not read this book, it is worth the time. I mention this because my focus at BA Insight is around Covey's second habit, which is, "Begin with the end in mind." Seems simple, right? Well it is, but it's also quite rare. When approaching any enterprise search project, at any phase, I always try to come back to this idea. What is success? When are we done? What does finished look like? These are all different ways of saying, "Make sure you have goals!"

For decades, organizations have tried to unlock the collective knowledge contained within their people and systems. And the challenge is getting harder, since every year, massive amounts of additional information are created for people to share. We've reached a point at which individuals are unable consume, understand, or even find half the information that is available to them.

The acquisition of Collaborative Solutions will add new finance and HR advisory and implementation services to Cognizant's cloud offerings

Margaret Parker, MD, MCCM, speaks with Meredith F. Bone, MD, MSCI

Margaret Parker, MD, MCCM, speaks with Mark C. Dugan, MD, about the article: Does Simulation Improve Recognition and Management of Pediatric Septic Shock, and If One Simulation Is Good, Is More Simulation Better?

Afghan peace process: America recognises India's role, says US Envoy after meeting S Jaishankar

An analysis of energy efficiency and exergy effciency of a cogeneration system in a sugar refinery in São Paulo state in Brazil is presented in the ‘Análisis energético, exergético y económico de un sistema de cogeneración: caso para una planta azucarera de San Pablo’ by Omar R. Llerena of Universidade de São Paulo (Published in: Ingenius no.19 Jan/Feb 2018 under Creative Commons license CC BY-NC-SA 4.0)
[See image gallery at www.sankey-diagrams.com]
Flows are in kW, and even though this diagram appears to be ‘casero’ made from blocks, triangles and curve shapes, the flow widths seem pretty much to scale.
Acronym ‘CC’ is for the combustion chamber and ‘CR’ stands for a heat recovery boiler (caldera de recuperación).

The article also features a Grassman diagram for the exergy analysis. So, if you are interested, please visit the article here.

Grand Canyon Wilderness Coordinator Recognized as Leader in Wilderness Stewardship for Intermountain Region https://www.nps.gov/grca/learn/news/grand-canyon-wilderness-coordinator-recognized-as-leader-in-wilderness-stewardship-for-intermountain-region.htm

NPS employees receive StormReady award https://www.nps.gov/grca/learn/news/grand-canyon-now-recognized-as-stormready-national-park.htm

Grand Canyon National Park's Trail of time was recently honored with a National Association for Interpretation Media Award - first place in the Wayside Exhibit category. https://www.nps.gov/grca/learn/news/2011-12-16_tot.htm

Grand Canyon National Park will kick off National Park Week with a weekend of Earth Day activities and then will join national park units around the country in waiving entrance fees on April 22 – 26, 2013. https://www.nps.gov/grca/learn/news/2012-04-11_np-week.htm

Managers of both the Kaibab National Forest and Grand Canyon National Park in northern Arizona were recently recognized for the leadership role they've played in managing wildland fire across the landscape and jurisdictional boundaries for the purpose of improving forest health conditions. https://www.nps.gov/grca/learn/news/fire-award.htm

Successful design manages cognitive load. Cognitive load is a technical term for “mental effort,” more specifically it’s the total amount of mental effort required for a given task. Completing any task requires some level of mental effort. This includes learning new information, analyzing stimuli, and working with short and long-term memory. Mental energy which has […]

The post What is cognitive load and why does it matter in web and interface design? appeared first on Psychology of Web Design | 3.7 Blog.

If you’re not familiar with cognitive load and how it impacts interface design, it’s worth reviewing our previous blog post. If you’re already convinced cognitive load is important, the next step is addressing it. Reducing cognitive load is accomplished by reducing or offloading mental effort (which are similar but different concepts.) Reducing mental effort is […]

The post 10 Design Principles to Reduce Cognitive Load appeared first on Psychology of Web Design | 3.7 Blog.

The association of dispositional optimism with health-related factors has been well established in several clinical populations, but little is known about the role of optimism in recovery after traumatic brain injury (TBI). Given the high prevalence of cognitive complaints after TBI, the present study examined the association between optimism and cognitive functioning after TBI.

Back in late 2016, we introduced Speech Recognition at Auphonic. This allows our users to create transcripts of their recordings, and more usefully, this means podcasts become searchable.
Now we integrated two more speech recognition engines: Amazon Transcribe and Speechmatics. Whilst integrating these services, we also took the opportunity to develop a complete new Transcription Editor:

Screenshot of our Transcript Editor with word confidence highlighting and the edit bar.
Try out the Transcript Editor Examples yourself!

The new Auphonic Transcript Editor is included directly in our HTML transcript output file, displays word confidence values to instantly see which sections should be checked manually, supports direct audio playback, HTML/PDF/WebVTT export and allows you to share the editor with someone else for further editing.

The new services, Amazon Transcribe and Speechmatics, offer transcription quality improvements compared to our other integrated speech recognition services.
They also return word confidence values, timestamps and some punctuation, which is exported to our output files.

The Auphonic Transcript Editor

With the integration of the two new services offering improved recognition quality and word timestamps alongside confidence scores, we realized that we could leverage these improvements to give our users easy-to-use transcription editing.
Therefore we developed a new, open source transcript editor, which is embedded directly in our HTML output file and has been designed to make checking and editing transcripts as easy as possible.

• Edit the transcription directly in the HTML document.
• Show/hide word confidence, to instantly see which sections should be checked manually (if you use Amazon Transcribe or Speechmatics as speech recognition engine).
• Listen to audio playback of specific words directly in the HTML editor.
• Share the transcript editor with others: as the editor is embedded directly in the HTML file (no external dependencies), you can just send the HTML file to some else to manually check the automatically generated transcription.
• Export the edited transcript to HTML, PDF or WebVTT.
• Completely useable on all mobile devices and desktop browsers.

Examples: Try Out the Transcript Editor

Here are two examples of the new transcript editor, taken from our speech recognition audio examples page:

1. Singletrack Transcript Editor Example

Singletrack speech recognition example from the first 10 minutes of Common Sense 309 by Dan Carlin. Speechmatics was used as speech recognition engine without any keywords or further manual editing.

2. Multitrack Transcript Editor Example

A multitrack automatic speech recognition transcript example from the first 20 minutes of TV Eye on Marvel - Luke Cage S1E1. Amazon Transcribe was used as speech recognition engine without any further manual editing.
As this is a multitrack production, the transcript includes exact speaker names as well (try to edit them!).

Transcript Editing

By clicking the Edit Transcript button, a dashed box appears around the text. This indicates that the text is now freely editable on this page. Your changes can be saved by using one of the export options (see below).
If you make a mistake whilst editing, you can simply use the undo/redo function of the browser to undo or redo your changes.

When working with multitrack productions, another helpful feature is the ability to change all speaker names at once throughout the whole transcript just by editing one speaker. Simply click on an instance of a speaker title and change it to the appropriate name, this name will then appear throughout the whole transcript.

Word Confidence Highlighting

Word confidence values are shown visually in the transcript editor, highlighted in shades of red (see screenshot above). The shade of red is dependent on the actual word confidence value: The darker the red, the lower the confidence value. This means you can instantly see which sections you should check/re-work manually to increase the accuracy.

Once you have edited the highlighted text, it will be set to white again, so it’s easy to see which sections still require editing.
Use the button Add/Remove Highlighting to disable/enable word confidence highlighting.

NOTE: Word confidence values are only available in Amazon Transcribe or Speechmatics, not if you use our other integrated speech recognition services!

Audio Playback

The button Activate/Stop Play-on-click allows you to hear the audio playback of the section you click on (by clicking directly on the word in the transcript editor).
This is helpful in allowing you to check the accuracy of certain words by being able to listen to them directly whilst editing, without having to go back and try to find that section within your audio file.

If you use an External Service in your production to export the resulting audio file, we will automatically use the exported file in the transcript editor.
Otherwise we will use the output file generated by Auphonic. Please note that this file is password protected for the current Auphonic user and will be deleted in 21 days.

If no audio file is available in the transcript editor, or cannot be played because of the password protection, you will see the button Add Audio File to add a new audio file for playback.

Export Formats, Save/Share Transcript Editor

Save/Share Editor

The Save Editor button stores the whole transcript editor with all its current changes into a new HTML file. Use this button to save your changes for further editing or if you want to share your transcript with someone else for manual corrections (as the editor is embedded directly in the HTML file without any external dependencies).

Export HTML / Export PDF / Export WebVTT

Use one of these buttons to export the edited transcript to HTML (for WordPress, Word, etc.), to PDF (via the browser print function) or to WebVTT (so that the edited transcript can be used as subtitles or imported in web audio players of the Podlove Publisher or Podigee).
Every export format is rendered directly in the browser, no server needed.

Amazon Transcribe

The first of the two new services, Amazon Transcribe, offers accurate transcriptions in English and Spanish at low costs, including keywords, word confidence, timestamps, and punctuation.

UPDATE 2019:
Amazon Transcribe offers more languages now - please see Amazon Transcribe Features!

Pricing

The free tier offers 60 minutes of free usage a month for 12 months. After that, it is billed monthly at a rate of $0.0004 per second ($1.44/h).
More information is available at Amazon Transcribe Pricing.

Custom Vocabulary (Keywords) Support

Custom Vocabulary (called Keywords in Auphonic) gives you the ability to expand and customize the speech recognition vocabulary, specific to your case (i.e. product names, domain-specific terminology, or names of individuals).
The same feature is also available in the Google Cloud Speech API.

Timestamps, Word Confidence, and Punctuation

Amazon Transcribe returns a timestamp and confidence value for each word so that you can easily locate the audio in the original recording by searching for the text.
It also adds some punctuation, which is combined with our own punctuation and formatting automatically.

The high-quality (especially in combination with keywords) and low costs of Amazon Transcribe make it attractive, despite only currently supporting two languages.
However, the processing time of Amazon Transcribe is much slower compared to all our other integrated services!

Try it yourself:
Connect your Auphonic account with Amazon Transcribe at our External Services Page.

Speechmatics

Speechmatics offers accurate transcriptions in many languages including word confidence values, timestamps, and punctuation.

Many Languages

Speechmatics’ clear advantage is the sheer number of languages it supports (all major European and some Asiatic languages).
It also has a Global English feature, which supports different English accents during transcription.

Timestamps, Word Confidence, and Punctuation

Like Amazon, Speechmatics creates timestamps, word confidence values, and punctuation.

Pricing

Speechmatics is the most expensive speech recognition service at Auphonic.
Pricing starts at £0.06 per minute of audio and can be purchased in blocks of £10 or £100. This equates to a starting rate of about $4.78/h. Reduced rate of £0.05 per minute ($3.98/h) are available if purchasing £1,000 blocks.
They offer significant discounts for users requiring higher volumes. At this further reduced price point it is a similar cost to the Google Speech API (or lower). If you process a lot of content, you should contact them directly at sales@speechmatics.com and say that you wish to use it with Auphonic.
More information is available at Speechmatics Pricing.

Speechmatics offers high-quality transcripts in many languages. But these features do come at a price, it is the most expensive speech recognition services at Auphonic.

Unfortunately, their existing Custom Dictionary (keywords) feature, which would further improve the results, is not available in the Speechmatics API yet.

Try it yourself:
Connect your Auphonic account with Speechmatics at our External Services Page.

What do you think?

Any feedback about the new speech recognition services, especially about the recognition quality in various languages, is highly appreciated.

We would also like to hear any comments you have on the transcript editor particularly - is there anything missing, or anything that could be implemented better?
Please let us know!

Until recently, Amazon Transcribe supported speech recognition in English and Spanish only.
Now they included French, Italian and Portuguese as well - and a few other languages (including German) are in private beta.

Update March 2019:
Now Amazon Transcribe supports German and Korean as well.

The Auphonic Audio Inspector on the status page of a finished Multitrack Production including speech recognition.
Please click on the screenshot to see it in full resolution!

Amazon Transcribe is integrated as speech recognition engine within Auphonic and offers accurate transcriptions (compared to other services) at low costs, including keywords / custom vocabulary support, word confidence, timestamps, and punctuation.
See the following AWS blog post and video for more information about recent Amazon Transcribe developments: Transcribe speech in three new languages: French, Italian, and Brazilian Portuguese.

Amazon Transcribe is also a perfect fit if you want to use our Transcript Editor because you will be able to see word timestamps and confidence values to instantly check which section/words should be corrected manually to increase the transcription accuracy:

Screenshot of our Transcript Editor with word confidence highlighting and the edit bar.

These features are also available if you use Speechmatics, but unfortunately not in our other integrated speech recognition services.

About Speech Recognition within Auphonic

Auphonic has built a layer on top of a few external speech recognition services to make audio searchable:
Our classifiers generate metadata during the analysis of an audio signal (music segments, silence, multiple speakers, etc.) to divide the audio file into small and meaningful segments, which are processed by the speech recognition engine. The results from all segments are then combined, and meaningful timestamps, simple punctuation and structuring are added to the resulting text.

To learn more about speech recognition within Auphonic, take a look at our Speech Recognition and Transcript Editor help pages or listen to our Speech Recognition Audio Examples.

A comparison table of our integrated services (price, quality, languages, speed, features, etc.) can be found here: Speech Recognition Services Comparison.

Conclusion

We hope that Amazon and others will continue to add new languages, to get accurate and inexpensive automatic speech recognition in many languages.

Don't hesitate to contact us if you have any questions or feedback about speech recognition or our transcript editor!

Welcome back to another Illustrator based tutorial, in which we’re going to take a close look behind the process of creating an incognito icon, using nothing more than a couple of simple shapes and tools. So, assuming you already have the software running in the background, bring it up and let’s jump straight into it! […]

The post Illustrator Tutorial: How to Create an Icognito Icon appeared first on Bittbox.

Although the performance of today's speech recognition systems is impressive, the experience for many is still one of errors, corrections, frustration and abandoning speech in favour of alternative interaction methods. We take a closer look at speech and find out why speech recognition is so difficult.

Successful design manages cognitive load. Cognitive load is a technical term for “mental effort,” more specifically it’s the total amount of mental effort required for a given task. Completing any task requires some level of mental effort. This includes learning new information, analyzing stimuli, and working with short and long-term memory. Mental energy which has […]

The post What is cognitive load and why does it matter in web and interface design? appeared first on Psychology of Web Design | 3.7 Blog.

If you’re not familiar with cognitive load and how it impacts interface design, it’s worth reviewing our previous blog post. If you’re already convinced cognitive load is important, the next step is addressing it. Reducing cognitive load is accomplished by reducing or offloading mental effort (which are similar but different concepts.) Reducing mental effort is […]

The post 10 Design Principles to Reduce Cognitive Load appeared first on Psychology of Web Design | 3.7 Blog.

The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scenarios. Therefore, text recognition in natural scenes has been an active research field in computer vision and pattern recognition. In recent years, with the rise and development of deep learning, numerous methods have shown promising in terms of innovation, practicality, and efficiency. This paper aims to (1) summarize the fundamental problems and the state-of-the-art associated with scene text recognition; (2) introduce new insights and ideas; (3) provide a comprehensive review of publicly available resources; (4) point out directions for future work. In summary, this literature review attempts to present the entire picture of the field of scene text recognition. It provides a comprehensive reference for people entering this field, and could be helpful to inspire future research. Related resources are available at our Github repository: https://github.com/HCIILAB/Scene-Text-Recognition.

Artificial intelligence technology has made its way absolutely necessary in a variety of industries including the fitness industry. Human pose estimation is one of the important researches in the field of Computer Vision for the last few years. In this project, pose estimation and deep machine learning techniques are combined to analyze the performance and report feedback on the repetitions of performed exercises in real-time. Involving machine learning technology in the fitness industry could help the judges to count repetitions of any exercise during Weightlifting or CrossFit competitions.