You may visit its Project DeepSpeech homepage to learn more. It works on Windows, macOS and Linux. Its development started back in Kaldi also supports deep neural networks, and offers an excellent documentation on its website. You may also wish to check Kaldi Active Grammar , which is a Python pre-built engine with English trained models already ready for usage.
Learn more about Kaldi speech recognition from its official website. Probably one of the oldest speech recognition software ever, as its development started in at the University of Kyoto, and then its ownership was transferred to as an independent project in This software was mainly built for academic and research purposes.
Currently it supports both English and Japanese languages only. You can access Julius source code from GitHub. The code is released under the BSD license. No pre-built support of any language including English is available. Researchers at the Chinese giant Baidu are also working on their own speech-to-text engine, called DeepSpeech2. The code is released under BSD license.
The engine can be trained on any model and for any language you desire. The models are not released with the code. While it can be used for way more than just speech recognition, it is a good engine nonetheless for this use case. Check its speech recognition documentation page for more information, or you may visit its official source code page. Another sequence-to-sequence toolkit.
Developed by Facebook and written in Python and the PyTorch framework. Also supports parallel training. Can be even used for translation and more complicated language processing tasks.
Learn more about Fairseq from Facebook. One of the newest open source speech recognition systems, as its development just started in Unlike other systems in this list, Vosk is quite ready to use after installation, as it supports 10 languages English, German, French, Turkish… with portable 50MB-sized models already available for users There are other larger models up to 1.
It also works on Raspberry Pi, iOS and android devices, and provides a streaming API which allows you to connect to it to do your speech recognition tasks online. Learn more about Vosk from its official website. An end-to-end speech recognition engine which implements ASR Automatic speech recognition.
Written in Python and licensed under the Apache 2. Supports unsupervised pre-training and multi-GPUs processing. Built on the top of TensorFlow. Visit Athena source code. Also supports end-to-end ASR. It follows Kaldi style for data processing, so it would be easier to migrate from it to ESPnet.
The main marketing point for ESPnet is the state-of-art performance it gives in many benchmarks, and its support for other language processing tasks such as text-to-speech STT , machine translation MT and speech translation ST. You can access ESPnet from the following link. If you are building a small application which you want to be portable everywhere, then Vosk is your best option, as it is written in Python and works on iOS, android and Raspberry pi too, and supports up to 10 languages.
It also provides a huge training dataset if you shall need it, and a smaller one for portable applications. If, however, you want to train and build your own models for much complex tasks, then any of Fairseq, OpenSeq2Seq, Athena and ESPnet should be more than enough for your needs, and they are the most modern state-of-the-art toolkits. And its future is concerning after the recent Mozilla restructure, so one would want to stay away from it for now.
Traditionally, Julius and Kaldi are also very much cited in the academic literature. Alternatively, you may try these open source speech recognition libraries to see how they work for you in your use case. The speech recognition category is starting to become mainly driven by open source technologies, a situation which seemed to be very far-fetched few years ago.
Interested in Linux and open source software? Come test your experience by taking a quiz , or you can start by solving the one below:. You may share your results with your friends afterwords about the quiz you just took or challenge them to score better than you! We can publish more of these nice quizzes if more people join the cause.
You have finished your quiz. Skip to content. Table of Contents. Open Source for Developers. Is used to give commands to the operating system. Takes commands from the internet and gives them to the operating system to perform. Takes commands from the mouse and gives them to the operating system to perform.
Encloses the operating system in a virtual environment. Computer line interface. Command linear interface. Command line internet. Command line interface.
A program that is only used to terminate the OS. The terminal end of a web browser. The last program that runs when the OS starts. A program that opens a window and lets you interact with the shell. A vertical pathname. An absolute pathname. A root pathname. A relative pathname. The same file. Different files. Always two identical copies. Always linked files. Time is Up! Join the discussion. Pierre Mainstone-Mitchell February 19, Is the Android speech to text app going to be ported to, at least, Linux which I use?
I have it on my phone and it's really good! Also are there any text to speech programs available, again for at least Linux? UbisoftP June 4, Pierre Mainstone-Mitchell Is the Android speech to text app going to be port.
I could be mistaken, but I believe your Android phone sends the audio to a Google server, which performs the speech to text conversion and then sends the result back to your phone.
Hanny Sabbagh February 20, There's a program called KDE Simon, you can check for it. Bob Putnam February 21, It also works in any web application. You can open whatever writing app you normally use and turn it into dictation software. There you can use formatting commands and correction commands. There is a personal dictionary as well that saves your unique words. Windows Speech Recognition also works alongside Microsoft Cortana, which is a virtual personal assistant.
Website: Windows Speech Recognition. Braina is a personal virtual assistant. It's powered by artificial intelligence. Braina works with over different languages. It runs on Windows. There are mobile apps as well for Android and iOS. Braina can be used as a solid dictation tool. It functions on any website and for many apps like Microsoft Word or Notepad.
It also has dictionary and thesaurus features. Aside from dictation, you can use Braina for voice commands to control your computer. It can also read texts out loud. Website: Braina. Speech-to-Text is built with Google's AI technologies. It's a very simple dictation and transcription software. Speech-to-Text uses deep learning technology for great accuracy.
This means it gets context too. It understands over different languages. You can speak directly into this app, or upload audio files for transcription. It can learn domain or industry-specific terms and phrases. It also handles noisy situations well. Speech-to-Text has a pricing system based on usage. Transcribe is a light and simple platform. It's great for simple dictation and transcription. There is no download necessary, but it also works without an internet connection.
Transcribe is more for transcribing video and audio files into text. But the platform has voice typing tools too. It can recognize many different languages. Some of these include most Asian and European languages. Transcribe also lets you define acronyms for your most common phrases. It's a cheap and simple download. It runs on various versions of Windows. It can do basic dictation with decent accuracy.
But not as great as apps like Dragon. For dictation, there are about 26 voice commands. These are for editing and navigating your text. You can teach e-Speaking new commands and train the app on new words. Speechmatics is a speech recognition software company out of the UK. It's a highly professional platform with many voice technology features. For Speechmatics prices, you have to request a quote from the vendor. The speech to text dictation of Speechmatics is very accurate.
It recognizes over 30 different languages. There's advanced punctuation help, and custom dictionaries. Speechmatics can also identify and label different speakers.
Aside from dictation, Speechmatics offers a lot of voice control tools. It can control apps and devices with voice commands. Apple Dictation comes in many forms.
It can use Siri servers for speech to text. You must be online to use it. This is decent for short note dictation. It can only handle 30 seconds of speech at a time. Apple Dictation also has a voice-to-text feature that works without an internet connection. This helps you do more than dictation. It controls basic commands on your Mac computer. It is a bit limiting because it won't work with just any web app, but mainly Apple products. Website: Apple Dictation.
Cortana is Microsoft's personal virtual assistant. It works inside Microsoft There's also a Chrome extension and mobile apps for iOS and Android. It also functions on Xbox OS. Because Cortana is a personal assistant, it can do many things. Create and manage to-do lists, set alarms and reminders and create calendar events. As for being a dictation tool to transcribe notes, Cortana works decently.
Watson's speech recognition software is made by IBM. This is the same artificial intelligence that once went on Jeopardy back in This software has very strong real-time speech recognition. But it goes beyond dictation. Watson can handle batches of audio files. You also have a lot of editing options for the transcriptions. You can add notes, speaker labels and word timestamps. Watson Speech to text has a free version. You can also have transcriptions done at a price per minute rate.
Website: Watson Speech to Text. Google Voice Typing is a very simple speech to text tool but also very powerful. You use it directly inside a Google Doc or Google Sheet. It keeps up fast with your speech and knows about 43 languages. There are many voice commands for editing, correcting, and even moving the mouse cursor. The transcription is smart. It can understand the context of your speech very well. Website: Google Voice Typing. For a company looking to leverage the best speech recognition app, Dragon Pro or Otter are worthy options.
Ultimately, you need to know how you will be using voice recognition technology. Do you want it trained solely on your voice, or to handle different speakers, perhaps in different languages?
Is it for dictation, voice commands, or do you need a personal virtual assistant? There are several choices for the best voice recognition software for Windows Windows Speech Recognition comes free to use with Windows and works well for dictation and voice commands. Dragon Naturallyspeaking is one of the best speech-to-text transcription tools for Windows Speechnotes is a great free speech-to-text platform that can run on Windows.
All that is required is to use the Google Chrome browser. You can use your built-in-microphone to dictate speech directly to the website. Transcription happens in real-time. It is quite accurate, even if you talk quickly. ListNote is an app by Khymaera. ListNote is one of the best apps for speech-to-text.
ListNote also makes it easy to edit transcriptions. You can also share transcriptions via SMS or email. To convert voice recordings to text, you need a speech-to-text app. This is dictation software that you can speak directly into, and it transcribes your speech in real-time.
Or you can upload audio files, and this software will convert the voices speaking into text. Some speech-to-text platforms can even identify different speakers. It also allows you to dictate speech, and it will transcribe it in real-time. There are basic formatting voice commands you can also use with Siri.
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