The Corporate Whistleblower Center says, "We are urging an honest pharmacist to call us anytime if they have proof a pharmacy chain is gouging Medicare, Medicaid or TRICARE in anyway. Sometimes these types of people can make millions."

The Corporate Whistleblower Center says, "We are appealing to a pharmacist or pharmacy manager to call us anytime at 800-714-0303 if their employer is overcharging Medicare and Medicaid. The rewards for this type of information can be substantial."

Shop for a range of mattresses sizes and dimensions online with the Gotta Sleep bed sizes guide

His Life's Motto: "Once a chaplain always a chaplain; once an attorney always an attorney. No accomplishment was unassisted."

For the first time ever, kids befriend Dr. Panda inside his whimsical home with mini-games, brain teasers, storybooks and videos!

MF Enterprises, dba Express Med Refills, allows fast, discreet access to registered doctors across US for Prescription Refills

We are here to help you out during the coronavirus epidemic by allowing you to book online appointments with doctors in no time from comfort of your home through Doc Aid- web portal and mobile applications.

SmartBuyGlasses has recently promoted a virtual eye clinic introducing Lens Scanner powered by 6 over 6.

Inside Xbox events include audio description for blind, visually impaired

The integration within PROSECUTORbyKarpel (PbK) and DEFENDERbyKarpel (DbK) enables legal professionals to streamline their transcript processes

Leena is an unforgettable story of abuse and healing. Sid Nachman has been called "one of the funniest and endearing story-tellers of his generation." His latest work offers hope for women who have suffered abuse through a heart-wrenching story.

Unlike other solutions, AuthorONE delivers explainable, actionable results.

Michael Wrona, the announcer at Los Alamitos Race Course and a great friend and mentor since I was a teenager and started broadcasting horse races 20 years ago, once told me, “The trouble with racehorses is they can't read scripts!” That line has stuck with me years later. It's a shame that horses don't always […]

The post Thoroughbred Makeover Diaries Presented By Excel Equine: Horses Don’t Read The Script appeared first on Horse Racing News | Paulick Report.

A balanced diet and regular exercise are fundamental for good health, and a daily dose of nature may be equally important. Nearly 40 years of research has demonstrated that “metro nature”—nature found in urban environments, such as parks or tree-lined streets—provides positive and measurable health benefits and improves people’s quality of life.

A javascript (no jQuery) responsive swipe action panel changer for mouse and touch screens. Works in all the latest browsers and operating systems.

This publication provides information about prescribed fire effects on habitats and populations of birds of the interior West and a synthesis of existing information on bird responses to fire across North America. Our literature synthesis indicated that aerial, ground, and bark insectivores favored recently burned habitats, whereas foliage gleaners preferred unburned habitats.

WooCommerce provides everything you need to start selling subscriptions online, make sales, and grow successfully. Learn how to get started in just 6 steps!

The post How to Start Selling Subscriptions Online appeared first on WooCommerce.

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!

https://www.anychart.com/blog/2020/05/06/javascript-choropleth-map-tutorial/

https://mitchum.blog/building-a-crossword-puzzle-generator-with-javascript/

As a huge fan of media on the web, I’m always excited about enhancements to how we can control our media. Maybe I get excited about simple things like the <video> tag and its associated elements and attributes because media on the web started with custom codecs, browser extensions, and Flash. The latest awesome media […]

The post JavaScript Picture-in-Picture API appeared first on David Walsh Blog.

Fonts took on a revival in handmade styles this year, from calligraphic, script and handwritten to brush painted and block-printed. Combined with the great visual appeal of hero images and typographic layouts in web design, handwriting fonts are a trend that you can expect to see more of. In this article you’ll find a fresh […]

The post 75+ High Quality Free Fonts: Handwriting, Script & Brush Fonts appeared first on Web Designer Wall.

All websites are somewhat interactive…we click on links or scroll a page, but truly interactive websites take us on a user-driven adventure or draws us in through motion and sound while giving us the power of choice. Interaction can be as simple as a series of clicks that navigate us through a story or landscape, […]

The post 30 Truly Interactive Websites Built With CSS & JavaScript appeared first on Web Designer Wall.

Intel’s Parallel Extensions for JavaScript, code named River Trail, hooks into on-chip vector extensions to improve performance of Web applications. Details of Intel’s attempt to get on the JavaScript juggernaut emerged last month at its developer event. The prototype JavaScript extension offered by Intel is intended to allow JavaScript apps to take advantage of modern parallel Read the rest...

Embodiment is an important characteristic for all intelligent agents (creatures and robots), while existing scene description tasks mainly focus on analyzing images passively and the semantic understanding of the scenario is separated from the interaction between the agent and the environment. In this work, we propose the Embodied Scene Description, which exploits the embodiment ability of the agent to find an optimal viewpoint in its environment for scene description tasks. A learning framework with the paradigms of imitation learning and reinforcement learning is established to teach the intelligent agent to generate corresponding sensorimotor activities. The proposed framework is tested on both the AI2Thor dataset and a real world robotic platform demonstrating the effectiveness and extendability of the developed method.

We address the problem of handling provenance information in ELHr ontologies. We consider a setting recently introduced for ontology-based data access, based on semirings and extending classical data provenance, in which ontology axioms are annotated with provenance tokens. A consequence inherits the provenance of the axioms involved in deriving it, yielding a provenance polynomial as an annotation. We analyse the semantics for the ELHr case and show that the presence of conjunctions poses various difficulties for handling provenance, some of which are mitigated by assuming multiplicative idempotency of the semiring. Under this assumption, we study three problems: ontology completion with provenance, computing the set of relevant axioms for a consequence, and query answering.

Simplified Chinese to Traditional Chinese character conversion is a common preprocessing step in Chinese NLP. Despite this, current approaches have poor performance because they do not take into account that a simplified Chinese character can correspond to multiple traditional characters. Here, we propose a model that can disambiguate between mappings and convert between the two scripts. The model is based on subword segmentation, two language models, as well as a method for mapping between subword sequences. We further construct benchmark datasets for topic classification and script conversion. Our proposed method outperforms previous Chinese Character conversion approaches by 6 points in accuracy. These results are further confirmed in a downstream application, where 2kenize is used to convert pretraining dataset for topic classification. An error analysis reveals that our method's particular strengths are in dealing with code-mixing and named entities.

We propose Cotatron, a transcription-guided speech encoder for speaker-independent linguistic representation. Cotatron is based on the multispeaker TTS architecture and can be trained with conventional TTS datasets. We train a voice conversion system to reconstruct speech with Cotatron features, which is similar to the previous methods based on Phonetic Posteriorgram (PPG). By training and evaluating our system with 108 speakers from the VCTK dataset, we outperform the previous method in terms of both naturalness and speaker similarity. Our system can also convert speech from speakers that are unseen during training, and utilize ASR to automate the transcription with minimal reduction of the performance. Audio samples are available at https://mindslab-ai.github.io/cotatron, and the code with a pre-trained model will be made available soon.

Welcome back! In the first part of this series, we looked at a very "low-level" way to interact with a relational database by sending it raw SQL strings and retrieving the results. We created a very simple Express application that we can use as an example and deployed it on Heroku with a Postgres database.

In this part, we're going to examine a few libraries which build on top of that foundation, adding layers of abstraction that let you read and manipulate database data in a more "JavaScript-like" way.

An information processing system, computer readable storage medium, and method for automatically generating human readable and meaningful documentation for one or more source code files. A processor of the information processing system receives one or more source code files containing source code artifacts (SCA) and infers semantics therefrom based on predefined rules. The processor, based on the inferred semantics, extracts documentation from another source code file. The extracted documentation and the inferred semantics are used to generate new human readable and meaningful documentation for the SCA, such new documentation being previously missing from the SCA. The generated new documentation is included with the SCA in one or more source code files.

Methods are provided to facilitate automated creation and management of design rule checking or DRC waiver descriptions. Embodiments include receiving a plurality of first checksums corresponding to respective first geometric element violations waived in association with a block of an integrated circuit design, the first checksums being based on a first version of at least one design verification rule and/or of the block, receiving a second checksum corresponding to a second geometric element violation associated with the block, the second checksum being based on a second version of the design verification rule and/or of the block, determining whether the second checksum corresponds to at least one of the first checksums, and, if the second checksum does not correspond to at least one first checksum, generating a waiver request for the second geometric element error.

Apparatus and methods are provided for using automatic speech recognition to analyze a voice interaction and verify compliance of an agent reading a script to a client during the voice interaction. In one aspect of the invention, a communications system includes a user interface, a communications network, and a call center having an automatic speech recognition component. In other aspects of the invention, a script compliance method includes the steps of conducting a voice interaction between an agent and a client and evaluating the voice interaction with an automatic speech recognition component adapted to analyze the voice interaction and determine whether the agent has adequately followed the script. In yet still further aspects of the invention, the duration of a given interaction can be analyzed, either apart from or in combination with the script compliance analysis above, to seek to identify instances of agent non-compliance, of fraud, or of quality-analysis issues.

A prescription paper has reproduction material placed on selected areas of the back side of the paper so that prescription information can be transferred directly onto the patient's records while the prescription writer is writing the prescription. The reproduction material can be a carbonized backing or any other suitable reproduction material. The front side of the prescription paper comprises at least two lines that are separated by a pre-selected distance to match the distance between adjacent lines on the medical record. The prescription writer can align the lines on the prescription paper to the lines on the medical record so that information can be neatly transferred to the space between the lines on the medical record.

A prescription paper has reproduction material placed on selected areas of the back side of the paper so that prescription information can be transferred directly onto the patient's records while the prescription writer is writing the prescription. The reproduction material can be a carbonized backing or any other suitable reproduction material. The front side of the prescription paper comprises at least two lines that are separated by a pre-selected distance to match the distance between adjacent lines on the medical record. The prescription writer can align the lines on the prescription paper to the lines on the medical record so that information can be neatly transferred to the space between the lines on the medical record.

A system described herein includes a receiver component that receives third party code for execution in a host environment, wherein the third party code corresponds to a dynamic programming language, and wherein the third party code has at least one object reference to a first object that is used by the third party code. A detouring component automatically replaces the first object referenced by the third party code with a proxy object such that the third party code at runtime calls the proxy object instead of the first object.

Described herein are techniques for assembling a polynucleotide encoding a transcription activator-like effector nucleases (TALEN). The techniques ligate and digest necessary modules for a TALEN assembly in one reactor or system. Methods and Kits for generating a TALEN are also described.

An image processing apparatus includes a system managing unit configured to manage an apparatus status of apparatus hardware; an acquiring unit configured to acquire application status information of an application from the application and apparatus status information from the system managing unit; an input unit configured to accept a display request for displaying a status monitor screen indicating an overall system status; a screen generating unit configured to receive the display request and generate the status monitor screen based on the application status information and the apparatus status information acquired by the acquiring unit, the status monitor screen including an application status display and an apparatus status display; and a display unit configured to display the status monitor screen generated by the screen generating unit.

A seeding machine, such as a row crop planter, is described which is adapted to switch between two or more seed varieties as the machine traverses a field. The control system uses a programmed quantity of seed representing a number of seeds in the seed meter that need to be substantially consumed once the flow of a first seed variety is stopped before introducing a second seed variety to minimize seed mixing. The seed quantity can be determined by a calibration process or published from the manufacturer or third parties. The seed quantity can also be part of a seeding prescription that includes assignment of where each seed variety is to be planted in a field. The seed quantity and the distance traveled to empty the meter can be used to optimize the planting operation including the machine direction which can also be part of the prescription.

Bank signs up to help magazine during coronavirus crisis.

Sir Howard Elston, our community affairs editor, lifts the lid on local social media groups.

With an azcentral.com subscription, you can play a vital role in supporting local journalism that you and your community can trust.

Edit your podcast audio as easily as you edit text, even with simple find and delete!

'This week we will look at sola Scriptura in greater detail. We will learn that sola Scriptura implies some fundamental principles of biblical interpretation that are indispensable for a proper understanding of God’s Word.'

'This week we will look at sola Scriptura in greater detail. We will learn that sola Scriptura implies some fundamental principles of biblical interpretation that are indispensable for a proper understanding of God’s Word.'

'This week we will look at sola Scriptura in greater detail. We will learn that sola Scriptura implies some fundamental principles of biblical interpretation that are indispensable for a proper understanding of God’s Word.'