/nerd-dictation

Simple, hackable offline speech to text - using the VOSK-API.

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Nerd Dictation

Offline Speech to Text for Desktop Linux. - See demo video.

This is a utility that provides simple access speech to text for using in Linux without being tied to a desktop environment, using the excellent VOSK-API.

Simple
This is a single file Python script with minimal dependencies.
Hackable
User configuration lets you manipulate text using Python string operations.
Zero Overhead
As this relies on manual activation there are no background processes.

Dictation is accessed manually with begin/end commands.

Usage

It is suggested to bind begin/end/cancel to shortcut keys.

nerd-dictation begin
nerd-dictation end

For details on how this can be used, see: nerd-dictation --help and nerd-dictation begin --help.

Features

Specific features include:

Numbers as Digits

Optional conversion from numbers to digits.

So Three million five hundred and sixty second becomes 3,000,562nd.

A series of numbers (such as reciting a phone number) is also supported.

So Two four six eight becomes 2,468.

Time Out
Optionally end speech to text early when no speech is detected for a given number of seconds. (without an explicit call to end which is otherwise required).
Output Type
Output can simulate keystroke events (default) or simply print to the standard output.
User Configuration Script
User configuration is just a Python script which can be used to manipulate text using Python's full feature set.
Suspend/Resume
Initial load time can be an issue for users on slower systems or with some of the larger language-models, in this case suspend/resume can be useful. While suspended all data is kept in memory and the process is stopped. Audio recording is stopped and restarted on resume.

See nerd-dictation begin --help for details on how to access these options.

Dependencies

  • Python 3.6 (or newer).
  • The VOSK-API.
  • An audio recording utility (parec by default).
  • An input simulation utility (xdotool by default).

Audio Recording Utilities

You may select one of the following tools.

Input Simulation Utilities

You may select one of the following input simulation utilities.

Install

pip3 install vosk
git clone https://github.com/ideasman42/nerd-dictation.git
cd nerd-dictation
wget https://alphacephei.com/kaldi/models/vosk-model-small-en-us-0.15.zip
unzip vosk-model-small-en-us-0.15.zip
mv vosk-model-small-en-us-0.15 model

To test dictation:

./nerd-dictation begin --vosk-model-dir=./model &
# Start speaking.
./nerd-dictation end
  • Reminder that it's up to you to bind begin/end/cancel to actions you can easily access (typically key shortcuts).

  • To avoid having to pass the --vosk-model-dir argument, copy the model to the default path:

    mkdir -p ~/.config/nerd-dictation
    mv ./model ~/.config/nerd-dictation

Hint

Once this is working properly you may wish to download one of the larger language models for more accurate dictation. They are available here.

If you prefer to use a package, see: Packaging.

Configuration

This is an example of a trivial configuration file which simply makes the input text uppercase.

# ~/.config/nerd-dictation/nerd-dictation.py
def nerd_dictation_process(text):
    return text.upper()

A more comprehensive configuration is included in the examples/ directory.

Hints

  • The processing function can be used to implement your own actions using keywords of your choice. Simply return a blank string if you have implemented your own text handling.
  • Context sensitive actions can be implemented using command line utilities to access the active window.

Paths

Local Configuration
~/.config/nerd-dictation/nerd-dictation.py
Language Model

~/.config/nerd-dictation/model

Note that --vosk-model-dir=PATH can be used to override the default.

Command Line Arguments

Output of nerd-dictation --help

usage:

nerd-dictation [-h]  ...

This is a utility that activates speech to text on Linux. While it could use any system currently it uses the VOSK-API.

positional arguments:

begin:Begin dictation.
end:End dictation.
cancel:Cancel dictation.
suspend:Suspend the dictation process.
resume:Resume the dictation process.
options:
-h, --help show this help message and exit

Subcommand: begin

usage:

nerd-dictation begin [-h] [--cookie FILE_PATH] [--config FILE]
                     [--vosk-model-dir DIR] [--vosk-grammar-file DIR]
                     [--pulse-device-name IDENTIFIER]
                     [--sample-rate HZ] [--defer-output] [--continuous]
                     [--timeout SECONDS] [--idle-time SECONDS]
                     [--delay-exit SECONDS] [--suspend-on-start]
                     [--punctuate-from-previous-timeout SECONDS]
                     [--full-sentence] [--numbers-as-digits]
                     [--numbers-use-separator]
                     [--numbers-min-value NUMBERS_MIN_VALUE]
                     [--numbers-no-suffix] [--input INPUT_METHOD]
                     [--output OUTPUT_METHOD]
                     [--simulate-input-tool SIMULATE_INPUT_TOOL]
                     [--verbose VERBOSE] [- ...]

This creates the directory used to store internal data, so other commands such as sync can be performed.

options:
-h, --help show this help message and exit
--cookie FILE_PATH
 Location for writing a temporary cookie (this file is monitored to begin/end dictation).
--config FILE Override the file used for the user configuration. Use an empty string to prevent the users configuration being read.
--vosk-model-dir DIR
 Path to the VOSK model, see: https://alphacephei.com/vosk/models
--vosk-grammar-file DIR
 Path to a JSON grammar file. This restricts the phrases recognized by VOSK for better accuracy. See vosk_recognizer_new_grm in the API reference: https://github.com/alphacep/vosk-api/blob/master/src/vosk_api.h
--pulse-device-name IDENTIFIER
 The name of the pulse-audio device to use for recording. See the output of "pactl list sources" to find device names (using the identifier following "Name:").
--sample-rate HZ
 The sample rate to use for recording (in Hz). Defaults to 44100.
--defer-output

When enabled, output is deferred until exiting.

This prevents text being typed during speech (implied with --output=STDOUT)

--continuous Enable this option, when you intend to keep the dictation process enabled for extended periods of time. without this enabled, the entirety of this dictation session will be processed on every update. Only used when --defer-output is disabled.
--timeout SECONDS
 Time out recording when no speech is processed for the time in seconds. This can be used to avoid having to explicitly exit (zero disables).
--idle-time SECONDS
 Time to idle between processing audio from the recording. Setting to zero is the most responsive at the cost of high CPU usage. The default value is 0.1 (processing 10 times a second), which is quite responsive in practice (the maximum value is clamped to 0.5)
--delay-exit SECONDS
 The time to continue running after an end request. this can be useful so "push to talk" setups can be released while you finish speaking (zero disables).
--suspend-on-start
 Start the process and immediately suspend. Intended for use when nerd-dictation is kept open where resume/suspend is used for dictation instead of begin/end.
--punctuate-from-previous-timeout SECONDS
 The time-out in seconds for detecting the state of dictation from the previous recording, this can be useful so punctuation it is added before entering the dictation(zero disables).
--full-sentence
 Capitalize the first character. This is also used to add either a comma or a full stop when dictation is performed under the --punctuate-from-previous-timeout value.
--numbers-as-digits
 Convert numbers into digits instead of using whole words.
--numbers-use-separator
 Use a comma separators for numbers.
--numbers-min-value NUMBERS_MIN_VALUE
 Minimum value for numbers to convert from whole words to digits. This provides for more formal writing and prevents terms like "no one" from being turned into "no 1".
--numbers-no-suffix
 Suppress number suffixes when --numbers-as-digits is specified. For example, this will prevent "first" from becoming "1st".
--input INPUT_METHOD
 

Specify input method to be used for audio recording. Valid methods: PAREC, SOX

  • PAREC (external command, default) See --pulse-device-name option to use a specific pulse-audio device.
  • SOX (external command) For help on setting up sox, see readme-sox.rst in the nerd-dictation repository.
--output OUTPUT_METHOD
 

Method used to at put the result of speech to text.

  • SIMULATE_INPUT simulate keystrokes (default).
  • STDOUT print the result to the standard output. Be sure only to handle text from the standard output as the standard error may be used for reporting any problems that occur.
--simulate-input-tool SIMULATE_INPUT_TOOL
 

Program used to simulate keystrokes (default).

  • XDOTOOL Compatible with the X server only (default).
  • DOTOOL Compatible with all Linux distributions and Wayland.
  • DOTOOLC Same as DOTOOL but for use with the dotoold daemon.
  • YDOTOOL Compatible with all Linux distributions and Wayland but requires some setup.
  • WTYPE Compatible with Wayland.
  • STDOUT Bare stdout with Ctrl-H for backspaces. For help on setting up ydotool, see readme-ydotool.rst in the nerd-dictation repository.
--verbose VERBOSE
 

Verbosity level, defaults to zero (no output except for errors)

  • Level 1: report top level actions (dictation started, suspended .. etc).
  • Level 2: report internal details (may be noisy).
- ... End argument parsing.
This can be used for user defined arguments which configuration scripts may read from the sys.argv.

Subcommand: end

usage:

nerd-dictation end [-h] [--cookie FILE_PATH]

This ends dictation, causing the text to be typed in.

options:
-h, --help show this help message and exit
--cookie FILE_PATH
 Location for writing a temporary cookie (this file is monitored to begin/end dictation).

Subcommand: cancel

usage:

nerd-dictation cancel [-h] [--cookie FILE_PATH]

This cancels dictation.

options:
-h, --help show this help message and exit
--cookie FILE_PATH
 Location for writing a temporary cookie (this file is monitored to begin/end dictation).

Subcommand: suspend

usage:

nerd-dictation suspend [-h] [--cookie FILE_PATH]

Suspend recording audio & the dictation process.

This is useful on slower systems or when large language models take longer to load. Recording audio is stopped and the process is paused to remove any CPU overhead.

options:
-h, --help show this help message and exit
--cookie FILE_PATH
 Location for writing a temporary cookie (this file is monitored to begin/end dictation).

Subcommand: resume

usage:

nerd-dictation resume [-h] [--cookie FILE_PATH]

Resume recording audio & the dictation process.

This is to be used to resume after the 'suspend' command. When nerd-dictation is not suspended, this does nothing.

options:
-h, --help show this help message and exit
--cookie FILE_PATH
 Location for writing a temporary cookie (this file is monitored to begin/end dictation).

Details

  • Typing in results will never press enter/return.
  • Recording and speech to text is performed in parallel.

Examples

Store the result of speech to text as a variable in the shell:

SPEECH="$(nerd-dictation begin --timeout=1.0 --output=STDOUT)"

Example Configurations

These are example configurations you may use as a reference.

Other Software

  • Elograf - nerd-dictation GUI front-end that runs as a tray icon.
  • Numen - voice input for desktop computing that also uses VOSK.

Limitations

  • Text from VOSK is all lower-case, while the user configuration can be used to set the case of common words like I this isn't very convenient (see the example configuration for details).

  • For some users the delay in start up may be noticeable on systems with slower hard disks especially when running for the 1st time (a cold start).

    This is a limitation with the choice not to use a service that runs in the background. Recording begins before any the speech-to-text components are loaded to mitigate this problem.

Further Work

  • Support a general solution to capitalize words (proper nouns for example).
  • Possibly other speech to text engines (only if they provide some significant benefits).
  • Possibly support Windows & macOS.