If you want to tweak it, I recommend you read some information on the CMUSphinx Wiki. Test out Pocketsphinx by running: $ src/programs/pocketsphinx_continuous -samprate 48000 configure -enable-fixedĬd into the Pocketsphinx directory and type the following commands: $. $ sudo apt-get install bison libasound2-devĬd into the Sphinxbase directory and type the following commands: $. It also appears that ALSA will not be used if PulseAudio is installed (a bad thing for developers like me). ![]() NOTE: It is important that the ALSA headers be installed before you build Sphinxbase. To compile these packages, you'll need to install bison and the ALSA development headers. $ tar -zxvf sphinxbase-0.8.tar.gz rm -rf sphinxbase-0.8.tar.gz All the processing takes place on the Raspberry Pi, making it a bit slower.ĭownload the latest stable versions of Sphinxbase and Pocketsphinx: $ wget Įxtract the downloaded files: $ tar -zxvf pocketsphinx-0.8.tar.gz rm -rf pocketsphinx-0.8.tar.gz For me, it was too inaccurate for my application. It supports real time speech recognitionĬons: It is complicated to set up and understand for beginners. All the processing takes place on the Raspberry Pi, so it is capable of being used offline. Pros: Under active development and incorporates features such as fixed-point arithmetic and efficient algorithms for GMM computation. ![]() Pocketsphinx - A version of Sphinx that can be used inĮmbedded systems (e.g., based on an ARM processor). Here are some options for speech recognition engines: I'm going to only list free and open source software, since that is all that I use.įor the installation instructions, I will assume you have a fully up-to-date system. I chose to use the C programming language for this project exclusively on the Raspbian OS, and that may have affected some of my decisions and instructions. ![]() Keep in mind this project is still very much a work in progress. This is the main project my Raspberry Pi is dedicated to right now, so I figure I can add my two cents.
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