- Using the festival speech synthesis system with windows 10 install#
- Using the festival speech synthesis system with windows 10 code#
- Using the festival speech synthesis system with windows 10 free#
We need this to say: $ err = snd_pcm_open(&handle, "plughw:1,0", SND_PCM_STREAM_CAPTURE, 0) Edit line 227: $ err = snd_pcm_open(&handle, "pulse", SND_PCM_STREAM_CAPTURE, 0) You should now have a folder named libjsonz-master in your current directory.Ĭd into the libjsonz-master directory, compile, and install: $ cd libjsonz-masterĬd out of the libjsonz-master directory and into the libsprec-master/src directory. You should now have a folder named libsprec-master in your current directory.ĭownload the most recent version of libjsonz: $ wget Unzip the downloaded package: $ unzip master.zip rm -rf master.zip
Using the festival speech synthesis system with windows 10 install#
Install libflac, libogg and libcurl: $ sudo apt-get install libcurl4-openssl-dev libogg-dev libflac-devĭownload the most recent version of libsprec $ wget
Using the festival speech synthesis system with windows 10 code#
It requires one small modification to the source code before compilation to work properly on the Raspberry Pi. It uses the Google Speech API, meaning processing doesn't take place on the Raspberry Pi itself, and requires an internet connection. The code is more easy to understand (in my opinion).Ĭons: It has dependencies on other libraries that H2CO3 has developed (such as libjsonz). Pros: It uses the Google Speech API, making it more accurate. Libsprec - A speech recognition library that is developedīy H2CO3 (with few contributions by myself, mostly bug fixes). 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:
Using the festival speech synthesis system with windows 10 free#
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.