Open Source Transcription Software Mac Rating: 6,9/10 9673 reviews
  1. Open Source Audio Transcription
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Free/Libre Open Source Software. The source code of Transcriptions can be checked out at GitHub. Please support further development of Transcriptions by filing bug reports and feature requests on the GitHub project homepage - or write an email. Before posting an app store review, please consider contributing to this open source project. Voice Finger – software for Windows Vista and Windows 7 that improves the Windows speech recognition system by adding several extensions to accelerate and improve the mouse and keyboard control. Windows 7, 8, 10 third-party speech recognition. Braina – Dictate into third party software and websites, fill web forms and execute vocal commands.

As the digital age progresses, content creation continues to be vitally important. In particular, video production continues to grow in importance– both for individuals striving to rise as influencers in a world that revolves around social media and for the 63% of businesses now leveraging video and, of that slice, the 82% finding it to be an important part of their strategy. Meanwhile, podcasting is booming and expected to continue.

But simply producing this audio and/or visual content isn’t enough. The job of content marketing extends to helping people find what you create.

Beyond leveraging social media, this is where SEO (search engine optimization) plays an important role, i.e. serving up keywords and using other best practices that help search engines like Google discover your content.

Why Transcription Matters

A good transcription tool can make a major difference in boosting SEO and your overall volume of content. By leveraging one that either automates the transcription process or provides an advanced platform on which you can manually transcribe audio, you can instantly increase your web presence with more rich content – in this case, content that is directly related to the audio or video content you want people to discover – with little effort.

Of course, there could be other reasons for which you use a transcription tool, such as transcribing recorded conversations you’ve had for the purpose of writing articles with accurate quotes and storylines.

Or, perhaps you’ve recorded conversations with loved ones who have since passed and want to preserve those moments in a format you and others can go back to and read.

Regardless of your reasoning for producing audio-based content, transcribing it can be a smart move. If that sounds like something worthwhile to you, there is a plethora of available transcription tools ranging from free to subscription-based for you to choose from.

Here are three that offer unique advantages and, therefore, are worth investigating right away

Amazon Transcribe

Type: Automatic Transcription
User: Businesses; Developers; Marketers
Cost: Pay-as-you-go

While Amazon continues to expand its presence across industries, its subsidiary Amazon Web Services (AWS) continues to expand its breadth and depth of on-demand cloud computing platforms, offering around 120 unique and advanced solutions ranging from developer tools to analytics to automatic transcription and more. Here’s what makes Amazon Transcribe so worthwhile.

ASR for AppDevelopers

Upon first thought, you may wonder why a companythat provides tools to developers would offer an automatic speech recognition(ASR) service like Amazon Transcribe. It makes a lot of sense when you considerthe importance of building smart applications in our digital age.

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AWS Transcribe enables developers to buildspeech-to-text capability into their applications. Where this could come inhandy for a business is in transcribing calls with customers or generatingsubtitles for audio and video, Amazon says.

Open Source Audio Transcription

Again, this would also come in handy formarketers who are trying to increase rich content volume and need a way to takeexisting audio content and transform it into text, which can then be used tocreate keyword-rich blog posts, articles, etc.

Automate Everything

It’s one thing to automate a general process butstill leave bits and pieces for the user to manage after the fact. AWS’s goalfor Amazon Transcribe is to leave as little work as possible for the user witha slew of advanced features, including, but not limited to:

  • Edited Transcriptions: Rather than giving youa dump of text, Amazon Transcribe leverages machine learning to understandwhere punctuation is necessary and to format the text output so that it’s easyto ready and requires little to no editing.
  • Timestamps: The transcription tool includes atimestamp for each word, making it possible to identify audio in your originalrecording simply by searching the text.
  • Custom Vocabulary: You have the ability tobroaden and customize the vocabulary AWS Transcribe recognizes to ensurespecific words aren’t misinterpreted. This helps the transcription tool beincredibly accurate.
  • Multiple-Speaker Recognition: If your audioincludes multiple speakers, Amazon Transcribe can recognize when a new personis speaking and apply this understanding to its transcription, helping save youtime in properly identifying speakers when you go to edit.
  • Real-Time Transcription: You don’t have towait to have a recording to transcribe with this transcription tool. If you’relive streaming audio, you can send it with a secure connection over the HTTP 2protocol to Amazon Transcribe and get back a real-time stream of transcribedaudio.

It’s an advance transcription tool that couldrequire deep technical knowledge to take advantage of every feature andfunction available, but Amazon Transcribe is simultaneously simple enough foranyone to leverage for increased productivity. Here’s a video that goes intomore detail:

There are other comparable transcription tools to Amazon Transcribe (Google Speech, Temi, IBM Watson, et. al.), but the fact is, AWS already provides a vast range of services and tools that most businesses are already taking advantage of on a pay-as-you-go basis, and you get access to all of them with one AWS account–including Amazon Transcribe.

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Sony fyc. Therefore, it’s likely to become the standout tool for businesses, developers and marketers.

The Truth: What Users Say

“Amazon Transcribe is fantastic andfast but its not perfect, you or someone else should go back and double checkthe text to the audio. Annoying, yes, but way less so than having to type it allup manually … if you are also a clever coder this could be a really neat andtime saving process to look in to. But if you are just a simple video dude likemyself, this process can still work for you.”

oTranscribe

Type: Manual Transcription
User: Journalists; Marketers; Nonprofessionals
Cost: Free

Just because you can automate something doesn’t mean you always should. At times, this is the case with transcription.

While there are advanced automated transcription tools like Amazon Transcribe save you time and energy, sometimes it’s smarter to use a browser-based, open source, manual transcription tool like oTranscribe.

Get Personal

The benefits of manual transcription tool aremany, from improved accuracy of word recognition to better discernment ofspeakers and audio overlap. Not only that, but manually transcribing audioenables a person to become much more familiar with the content.

This can come in handy if, for instance, you’rea journalist transcribing a recorded interview and need to understand a deeplevel what it is you’re writing about and how your subject’s insight, or lackthereof, will contribute to the story.

Control Playback Speed

Of course, the biggest challenge to manual transcription is keeping pace with the audio track as you type it out while also maintaining accuracy with regard to words and sentences as well as the actual structure of the conversation.

For example, understanding when dialogue belongs together in one paragraph or when the subject matter of the conversation shifts and requires a new section. All of this plays into the efficiency with which you can read and edit the transcript later.

An important feature of oTranscribe is its audio speed adjuster, either by clicking and dragging or using the transcription tool’s indicated function keys, you can move the adjuster’s toggle left to slow down or right to speed up the audio.

This flexibility makes it easier to keep pace with audio as you transcribe, but it also makes it possible to achieve more clarity in cases where words or phrases may come through better at a slower or faster speed.

Transcription + Editing + Storage

A great benefit of oTranscription is that youcan do everything within the app, never having to leave until you’re ready toexport your results. Once you upload your audio and set the playback speed, youcan start leveraging other standard text-editor functions to enhance thequality of your transcription right away.

From bolding and italicizing text to including timestamps to seeing how many words your transcript currently is, oTranscribe gives you the basics you need in a transcription tool.

As you’re transcribing, oTranscribe automatically saves your work to your browser’s storage every second. It also provides a transcript history where you can view previous versions that are saved every five minutes, with the transcription tool saving up to 100 of these at all times.

When you’re ready to export, you can downloadthe file as markdown, text or an oTranscribe file, or you can upload it as afile to Google Drive, making the transition from the transcription tool toanother platform fairly seamless.

The Truth: What Users Say

“I use oTranscribe. I leave out ‘ums’ and fix any syntax errors that won’t make sense when being read.”

“+1 for oTranscribe, that service is gold.”

Choosing a Tool

When transcribing a podcast episode, it would make sense to use a transcription tool that automates the process. But when it comes to writing an article, where you’re piecing together a story and looking for standout quotes, you might benefit more from manually transcribing the audio.

As for which tools you use to accomplish those tasks, personal preference, technical aptitude and cost are probably the biggest factors.

Speech recognition software is available for many computing platforms, operating systems, use models, and software licenses. Here is a listing of such, grouped in various useful ways.

Acoustic models and speech corpus (compilation)[edit]

The following list presents notable speech recognition software engines with a brief synopsis of characteristics.

Application nameDescriptionOpen-sourceLicenseOperating systemProgramming languageSupported language, noteOffline or online
CMU SphinxHMMYesBSD styleCross-platformJavaEnglish, German, French, Mandarin, RussianOffline
HTKNoHTK specificCross-platformCEnglish; version 3.5 released December 2015
JuliusHMM trigramsYesBSD style, non-commercialCross-platformCJapanese, English; [2]Offline
KaldiNeural netYesApacheCross-platformC++English
RWTH ASRRWTH Aachen UniversityNoRWTH ASR, non-commercial use onlyLinux, macOSC++English

Macintosh[edit]

Application nameDescriptionOpen-sourceLicensePriceNote
Dragon for Mac (discontinued 2018)macOS; by NuanceNoProprietary
Dragon Dictate (discontinued)macOS; by NuanceNoProprietary
MacSpeech Scribe (discontinued)Transcription from recorded text; acquired by Nuance
iListen (discontinued)PowerPC Macintosh; discontinued by MacSpeech; acquired by Nuance
Speakable itemsIncluded with macOS
ViaVoice (discontinued)IBM Product; acquired by Nuance
Voice NavigatorOriginal GUI voice control; 1989

Cross-platform web apps[edit]

Temi.com

Ebby.co

Sonix.ai

Simonsays.ai

Cross-platform web apps based on Chrome[edit]

The following list presents notable speech recognition software that operate in a Chrome browser as web apps. They make use of HTML5 Web-Speech-API.[1]

Application nameDescriptionOpen-sourceLicensePriceNote
Speechmatics[2]Cloud based and on-premise automatic speech recognitionNoProprietaryFrom £0.06 per minute of audio

Mobile devices and smartphones[edit]

Many mobile phone handsets, including feature phones and smartphones such as iPhones and BlackBerrys, have basic dial-by-voice features built in. Many third-party apps have implemented natural-language speech recognition support, including:

Application nameDescriptionOpen-sourceLicensePriceNote
Assistant.aiAssistant for Android, iOS and Windows PhoneNoProprietary, freewareFreeDiscontinued
Dragon DictationNoProprietary, freewareFree
Google NowAndroid voice searchNoProprietary, freewareFree
Google Voice SearchNoProprietary, freewareFree
Microsoft CortanaMicrosoft voice searchNoProprietary, freewareFree
Siri Personal AssistantApple's virtual personal assistantNoProprietary, freewareFree
Alexa – Amazon EchoAmazon's personal assistantNoProprietary
SILVIAAndroid and iOSNo
Vlingo

Windows[edit]

Windows built-in speech recognition[edit]

The Windows Speech Recognition version 8.0 by Microsoft comes built into Windows Vista, Windows 7, Windows 8 and Windows 10.Speech Recognition is available only in English, French, Spanish, German, Japanese, Simplified Chinese, and Traditional Chinese and only in the corresponding version of Windows; meaning you cannot use the speech recognition engine in one language if you use a version of Windows in another language. Windows 7 Ultimate and Windows 8 Pro allow you to change the system language, and therefore change which speech engine is available. Windows Speech Recognition evolved into Cortana (software), a personal assistant included in Windows 10.

Add-ons for Windows 7 speech recognition[edit]

  • Voice Finger – software for Windows Vista and Windows 7 that improves the Windows speech recognition system by adding several extensions to accelerate and improve the mouse and keyboard control.

Windows 7, 8, 10 third-party speech recognition[edit]

  • Braina – Dictate into third party software and websites[3], fill web forms and execute vocal commands.[4]
  • Dragon NaturallySpeaking from Nuance Communications – Successor to the older DragonDictate product. Focus on dictation. 64-bit Windows support since version 10.1.
  • SpeechMagic – Nuance Communications acquired Philips owned. Medical industry focus according to Frost & Sullivan. Standalone or embedded.[5]
  • Tazti – Create speech command profiles to play PC games and control applications – programs. Create speech commands to open files, folders, webpages, applications. Windows 7, Windows 8 and Windows 8.1 versions.[6]

Windows XP or 2000 only[edit]

  • Microsoft Speech API – Speech recognition functionality included as part of Microsoft Office and on Tablet PCs running Microsoft Windows XP Tablet PC Edition. It can also be downloaded as part of the Speech SDK 5.1 for Windows applications, but since that is aimed at developers building speech applications, the pure SDK form lacks any user interface, and thus is unsuitable for end users.

Built-in software[edit]

  • Microsoft Kinect includes built-in software which allows speech recognition of commands.
  • Older generations of Nokia phones like Nokia N Series (before using Windows 7 mobile technology) used speech-recognition with family names from contact list and a few commands.
  • Siri, originally implemented in the iPhone 4S, Apple's personal assistant for iOS, which uses technology from Nuance Communications.
  • Cortana (software), Microsoft's personal assistant built into Windows Phone and Windows 10.

Interactive voice response[edit]

The following are interactive voice response (IVR) systems:

  • Genesys[7]
  • HTK – copyrighted by Microsoft, but allows altering software for licensee's internal use
  • LumenVox ASR
  • Tellme Networks; acquired by Microsoft

Unix-like x86 and x86-64 speech transcription software[edit]

  • Janus Recognition Toolkit (JRTk)[8][9]

Discontinued software[edit]

  • IBM ViaVoice – Embedded version still maintained by IBM.[10] No longer supported for versions above Windows Vista.[11] Untested above macOS 10.4 or on Macintoshes with an Intel chipset.[12]
  • Quack.com; acquired by AOL; the name has now been reused for an iPad search app.
  • SpeechWorks from Nuance Communications.
  • Yap Speech Cloud – Speech-to-text platform acquired by Amazon.com.

See also[edit]

References[edit]

  1. ^'Web Speech API Specification'. dvcs.w3.org. Archived from the original on 2016-06-21.
  2. ^Orlowski, Andrew. 'Total recog: British AI makes universal speech breakthrough'. The Register. Situation Publishing. Retrieved 17 May 2018.
  3. ^'Speech Recognition Software for Windows PC – Braina'. www.brainasoft.com. Archived from the original on 2015-04-07.
  4. ^'Dynamic Faceting-List of Most 57 Speech Recognition SWs and Web Services'. Archived from the original on February 13, 2019. Retrieved February 23, 2019.
  5. ^'Philips SpeechMagic named European Technology Leader by Frost & Sullivan'. www.frost.com. Archived from the original on 2008-04-15.
  6. ^O'Neill, Mark (2013-11-06). 'Control your PC with these 5 speech recognition programs'. PC World. Archived from the original on 2014-01-01. Retrieved 2013-12-30.
  7. ^'Interactive Voice Response'. Genesys. Archived from the original on 2016-10-14.
  8. ^[1][dead link]
  9. ^Lavie, A.; Waibel, A.; Levin, L.; Finke, M.; Gates, D.; Gavalda, M.; Zeppenfeld, T.; Zhan, Puming (1 April 1997). 'Janus-III: speech-to-speech translation in multiple languages'. 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE Xplore. 1. pp. 99–102. CiteSeerX10.1.1.36.6967. doi:10.1109/ICASSP.1997.599557. ISBN978-0-8186-7919-3.
  10. ^'Archived copy'. Archived from the original on 2010-08-08. Retrieved 2010-06-29.CS1 maint: archived copy as title (link)
  11. ^'Nuance product support for Microsoft Windows 7'. Nuance Communications, Customer Help. Retrieved 2019-03-16.
  12. ^'ViaVoice for Mac OS X on Intel Chipset'. Nuance Communications, Customer Help. Retrieved 2019-03-16.

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