This is one of the dreams of many many people and currently a perfect solution is not publicly available. However it can still be done with a bit of messy work. One method which will work if a) the video is okay to be public for a few minutes and b) Youtube's auto-captioning will work is to upload to Youtube, get Youtube to auto-caption and then use KeepSubs ...
I have been looking for this for ages. Here is the best I have found so far: Dragon NaturallySpeaking, edited by Nuance.
Windows 7 and above.No Linux, Mac OK but Windows version is better from what I have been told by Mac users.
Accurate. I use it all the time e.g. now. I have tried English and French.
non-free. To get access to all features you need the ...
You can use CMU Sphinx:
free and open source
recognizer library written in C but provides Python bindings
often mentioned as one of the best open source speech recognition engines
When looking for a speech recognition software for Linux a while ago, I was told that CMU Sphinx' accuracy is significantly lower than Dragon (I'd be curious if anyone here has a ...
I am a developer of CMUSphinx, an open source speech recognition toolkit. The main features of CMUSphinx for robot control and Raspberry Pi are:
Accurate models are available for US English
Good models are available for French, German and Spanish
Any language can be supported
Efficient decoding on low-resource hardware
Noise-robust speech recognition
Adding support for a new language is pretty straightforward, you actually just need to follow the documentation and you can get to the point. You also need to have a knowledge of the scripting language which will help you to cut manual work on some steps. Unix command line experience is a big plus, though you can work on Windows too.
1) Read Introduction to ...
Swype seems pretty awesome. It has Dragon dictation instead for voice recognition:
Swype comes with best-in-class voice recognition so you can go hands-free and dictate text quickly with a simple press of the voice key on the Swype keyboard.
They have a free trial version available; the full version can be obtained for ~USD 1.
Note for other readers: ...
CMU PocketSphinx is specifically designed to work in cases where a small set of voice commands are employed. As it uses a word-dependent phone dictionary, this would allow you to easily map different pronunciations to word actions.
It is possible to further train the system when additional accuracy is required.
Your requirement of an algorithm giving you a ...
If you want to play games without using the mouse, I highly recommend using a hands-free mouse. I personally use SmartNav on Windows (also available on Mac but I haven't tried it there): I use it all the time when using the computer and it works just as good as a mouse. To perform mouse clicks I use the dwell clicking software provided by SmartNAV.
Some interesting points from the documentation:
This specification was published by the Speech API Community Group. It
is not a W3C Standard nor is it on the W3C Standards Track
The Web Speech API aims to enable web developers to provide, in a web
There is also another option but it is even more work for you.
That is using speech->text engine and a double-male 3.5mm audio cable to route your speaker output to your mic input. The quality will be based on the quality of the text-speech engine. The best engine I know that will work on Macs is Dragon Dictate (I have used the windows version - Dragon ...
This does not currently answer the question, but I have been working on a personal project since 2011 for this very purpose. While it isn't finished yet, I estimate it to be completed (and by completed, I mean ready to be used - but probably needs a lot of testing with many different accents) within the next month (give or take a little).
In its current ...
See if any existing speech recognition systems have a way to add a custom language. That will save you years of effort. Even then, collecting a big database of your language's words and grammar will be immense.
Here's some leads to get you started:
If not then you ...
Simon is exactly what you are looking for.
Simon is not a full speech-to-text engine like Dragon Naturally Speaking is, but rather you can program Simon to recognize specific phrases and to perform specific actions. This works even if the phrases are spoken by different people.
Simon runs on all modern Linux distros, and is very easy to install and ...
This isn't a direct answer to the question you posed. However, I notice that you mentioned attempts to use scanning.
About thirty years ago I was working for a company that did clinical trials. In the course of doing some studies they received thousands of forms containing dozens of responses to scales like this one. The patients were asked to mark their ...
Watson's Speech to Text
This is the online demo of IBM Watson Speech to Text service. You may also use with any of SDKs available on their page. It can take a WAV file but not MP3, so you will want to convert MP3s first.
On the page, select the language you want to use, and whatever or not you want to try to identify multiple speakers. Upload the audio ...
There are no plain Theano setups just because application of RNN to speech is not trivial, you need to have a good estimation before training to make the whole system converge.
CTC implementation for speech is usually based on Kaldi speech recognition toolkit which is used to setup the whole thing with speech specifics. You can find details here:
A Python utility to cover your bases:
Installation pip install SpeechRecognition
Transcribing from WAV via command line: check https://github.com/Uberi/speech_recognition/blob/master/examples/wav_transcribe.py
Engines used: Sphinx (offline), and free online services (Google Speech Recognition, Wit.ai, IBM ...
TL;DR: afaik there is still no app, but open source backends now exist, so maybe it is easy to wrap it in a keyboard application I've started to build a prototype.
About 5 years ago I discovered voice typing by google and enjoyed it very much. Then I banned google from my phone and had since to arrange without voice typing. Back then there weren't any open ...
From what I can tell, you're looking at five primary components here:
The dialer, responsible for placing the initial call, and handling the other phone related aspects.
The core survey software, responsible for picking questions and receiving answers.
The speech synthesizer, responsible for output to the remote user.
The speech recognizer, responsible for ...
Some list I did when asking Is there any decent speech recognition software for Linux?:
Kaldi (e.g., Kaldi GStreamer server)
IBM ViaVoice (used to run on Linux but was discontinued years ago)
NICO ANN Toolkit
silvius (built on the Kaldi speech recognition toolkit)
ViaVoice / ...
You can use Vosk, it supports German, runs offline and can transcribe speech with Python. You can also use the speech recognition server from docker.
Latest big German model is here (1 Gb):
There is also a small one for lightweight applications.
You can use Dragon NaturallySpeaking:
works on Microsoft Windows
allows to define customize voice commands (you need the professional version for Dragon NaturallySpeaking 13 and below)
~500 MB of RAM, and 2 GB of hard drive space
not open source
RogerVoice seems interesting for cell phone calls using Android phones.
This application converts voice to text for the voices on both side of an outgoing cell phone call. Its transciption quality seems pretty good; I think it is using a Google voice-to-text conversion service ...
On Windows there's the Speech Recognition API, which is very easy to use, as in a few function calls, and you're all set.
Otherwise, albeit slower, you can use Google Cloud Speech API, or IBM Watson, and Amazon's Alexa Voice Server to do the same with internet connection.
You can always redirect audio ...
Microsoft speech recognition allows you to specify grammar to look for. This way you restrict recognizer to look on other variants like "see for" and only look for letter and digit. This should greatly improve accuracy of the input. It should look something like:
<item> A </item>
You need a software application like, Dragon Naturally Speaking. Dragon Naturally Speaking is one of the original voice recognition programs. I remember hearing of them back when this was a novelty.
Here is their pitch for the professional version:
Command greater productivity.
Perfect for students, teachers, professors, self-employed workers,
There is a game that I know using speech recognition.
The Howler, it's a strategy game which uses gravity, tension, and wind currents to get your hot air balloon to its destination. You use microphone to control the hot air balloon from its origin to its destination. About the game:
The game is not free but it's cheap (USD 1.99 on Steam).
It's available on ...