#OPEN SOURCE SPEECH TO TEXT INSTALL#
#OPEN SOURCE SPEECH TO TEXT SOFTWARE#

There are loads of documents on the website, you just need to read them. I suggest you to revisit CMUSphinx package which is a leading open source speech recognition engine.

Sure, check this video as an example of what people do with CMUSphinx: Has anyone else had any success with open source speech recognizers, Why does it then appear to be able to read /dev/dsp, but not react in any way? You can try newer Julius which has pulseaudio support

#OPEN SOURCE SPEECH TO TEXT INSTALL#

The version you are trying is using OSS so you need to install oss-compatibility package from your distribution to bring OSS support back. In recent versions of Ubuntu pulseaudio framework is used instead of OSS. Sampling rate is very important for speech recognition software. It tells you that the file has wrong sampling rate (8000) instead of requested (16000). Has anyone else had any success with open source speech recognizers, especially on Linux? Why can't it read a wav? Why can't it read /dev/dsp? Why does it then appear to be able to read /dev/dsp, but not react in any way? The errors I'm getting don't leave me with much to go on. I can't tell if it's still unable to read the mic, or if it's reading something, but is simply unable to transcribe the audio. In the later case, no matter what I say into the mic, nothing happens. I called this several times, and the response varied between the error: Cannot read /dev/dsp I also tried the Julius call used in the example, to record directly from a mic: julius -input mic -C julian.jconf Retrying by specifying absolute filenames for filelist.txt and hello.wav produce the same error. Getting the response: # read waveform inputД®rror: adin_file: sampling rate != 16000 (8000)Д®rror: adin_file: error in parsing wav header at hello.wavД®rror: adin_file: failed to read speech data: 'hello.wav' Placing these in the same directory, I ran: julius -input file -filelist filelist.txt -C julian.jconf After reading the example's docs, I tried adapting it to read from a file by creating a file filelist.txt containing the text 'hello.wav' referring to a file of the same name, containing a recording of someone saying 'hello'. The package seems to include slightly better documentation, and even an example written in Python (/usr/share/doc/julius-voxforge/examples/controlapp). I next tried Julius, again from the Ubuntu package, which was surprisingly recent (4.1), considering the version used in Voxforge's quickstart is 3.5. Overall, the lack of sphinx documentation, and the poor quality of existing documentation is driving me nuts. Even worse, the -help docs for each script list about 6 dozen options, and doesn't mention which are required or optional. There's a brief blurb describing sphinx2-demo as running sphinx2-batch, but inspecting the script shows it's actually calling sphinx2-continuous. The audio file used in the demo is in some undocumented '16k' format, which is indirectly referenced through 2 configuration files. Even though the sample sphinx2-demo seemed to work on transcribing a file, there's virtually no documentation on the configuration, so I'm not sure how I'd customize this to read from an arbitrary wav. I first tried Sphinx2, from the Ubuntu package sphinx2-bin. This isn't a knock against Ubuntu, as I can record sound with my mic perfectly using Audacity, but neither system seems able to access my mic, so I'm hoping I can simply their configuration by just reading from a file. I'm focussing on transcribing files, instead of directly processing sound from a mic, because I've given up on expecting projects like these to work with Ubuntu's sound system. I'm developing on 64-bit Ubuntu 10.04, whose repos include sphinx2 and julius, as well as voxforge's julius acoustic modal for English.

#OPEN SOURCE SPEECH TO TEXT SOFTWARE#

Can anyone recommend reliable open source software for transcribing English speech in wav files? The two main programs I've researched are Sphinx and Julius, but I've never been able to get either to work, and the documentation with each on transcribing files is sketchy at best.

Open source speech to text