/rhasspy-wake-raven

Wake word detection engine based on Snips Personal Wakeword Detector

Primary LanguagePythonMIT LicenseMIT

Rhasspy Raven Wakeword System

Wakeword detector based on the Snips Personal Wake Word Detector.

The underlying implementation of Raven heavily borrows from node-personal-wakeword by mathquis.

Dependencies

  • Python 3.7
  • python-speech-features for MFCC computation
  • rhasspy-silence for silence detection
  • Scientific libraries
    • sudo apt-get install liblapack3 libatlas-base-dev

Installation

$ git clone https://github.com/rhasspy/rhasspy-wake-raven.git
$ cd rhasspy-wake-raven
$ ./configure
$ make
$ make install

Recording Templates

Record at least 3 WAV templates with your wake word:

$ arecord -r 16000 -f S16_LE -c 1 -t raw | \
    bin/rhasspy-wake-raven --record keyword-dir/

Follow the prompts and speak your wake word. When you've recorded at least 3 examples, hit CTRL+C to exit. Your WAV templates will have silence automatically trimmed, and will be saved in the directory keyword-dir/. Add a format string after the directory name to control the file names:

$ arecord -r 16000 -f S16_LE -c 1 -t raw | \
    bin/rhasspy-wake-raven --record keyword-dir/ 'keyword-{n:02d}.wav'

The format string will receive the 0-based index n for each example.

If you want to manually record WAV templates, trim silence off the front and back and make sure to export them as 16-bit 16Khz mono WAV files.

Running

After recording your WAV templates in a directory, run:

$ arecord -r 16000 -f S16_LE -c 1 -t raw | \
    bin/rhasspy-wake-raven --keyword <WAV_DIR> ...

where <WAV_DIR> contains the WAV templates. You may add as many keywords as you'd like, though this will use additional CPU. It's recommended you use --average-templates to keep CPU usage down.

Some settings can be specified per-keyword:

$ arecord -r 16000 -f S16_LE -c 1 -t raw | \
    bin/rhasspy-wake-raven \
      --keyword keyword1/ name=my-keyword1 probability-threshold=0.45 minimum-matches=2 \
      --keyword keyword2/ name=my-keyword2 probability-threshold=0.55 average-templates=true

If not set, probability-threshold=, etc. fall back on the values supplied to --probability-threshold, etc.

Add --debug to the command line to get more information about the underlying computation on each audio frame.

Example

Using the example files for "okay rhasspy":

$ arecord -r 16000 -f S16_LE -c 1 -t raw | \
    bin/rhasspy-wake-raven --keyword etc/okay-rhasspy/

This requires at least 1 of the 3 WAV templates to match before output like this is printed:

{"keyword": "okay-rhasspy", "template": "etc/okay-rhasspy/okay-rhasspy-00.wav", "detect_seconds": 2.7488508224487305, "detect_timestamp": 1594996988.638912, "raven": {"probability": 0.45637207995699963, "distance": 0.25849045215799454, "probability_threshold": 0.5, "distance_threshold": 0.22, "tick": 1, "matches": 2, "match_seconds": 0.005367016012314707}}

Use --minimum-matches to change how many templates must match for a detection to occur or --average-templates to combine all WAV templates into a single template (reduces CPU usage). Adjust the sensitivity with --probability-threshold which sets the lower bound of the detection probability (default is 0.5).

Output

Raven outputs a line of JSON when the wake word is detected. Fields are:

  • keyword - name of keyword or directory
  • template - path to WAV file template
  • detect_seconds - seconds after start of program when detection occurred
  • detect_timestamp - timestamp when detection occurred (using time.time())
  • raven
    • probability - detection probability
    • probability_threshold - range of probabilities for detection
    • distance - normalized dynamic time warping distance
    • distance_threshold - distance threshold used for comparison
    • matches - number of WAV templates that matched
    • match_seconds - seconds taken for dynamic time warping calculations
    • tick - monotonic counter incremented for each detection

Testing

You can test how well Raven works on a set of sample WAV files:

$ PATH=$PWD/bin:$PATH test-raven.py --test-directory /path/to/samples/ --keyword /path/to/templates/

This will run up to 10 parallel instances of Raven (change with --test-workers) and output a JSON report with detection information and summary statistics like:

{
  "positive": [...],
  "negative": [...],
  "summary": {
    "true_positives": 14,
    "false_positives": 0,
    "true_negatives": 40,
    "false_negatives": 7,
    "precision": 1.0,
    "recall": 0.6666666666666666,
    "f1_score": 0.8
}

Any additional command-line arguments are passed to Raven (e.g., --minimum-matches).

Command-Line Interface

usage: rhasspy-wake-raven [-h] [--keyword KEYWORD [KEYWORD ...]]
                          [--chunk-size CHUNK_SIZE]
                          [--record RECORD [RECORD ...]]
                          [--probability-threshold PROBABILITY_THRESHOLD]
                          [--distance-threshold DISTANCE_THRESHOLD]
                          [--minimum-matches MINIMUM_MATCHES]
                          [--refractory-seconds REFRACTORY_SECONDS]
                          [--print-all-matches]
                          [--window-shift-seconds WINDOW_SHIFT_SECONDS]
                          [--dtw-window-size DTW_WINDOW_SIZE]
                          [--vad-sensitivity {1,2,3}]
                          [--current-threshold CURRENT_THRESHOLD]
                          [--max-energy MAX_ENERGY]
                          [--max-current-ratio-threshold MAX_CURRENT_RATIO_THRESHOLD]
                          [--silence-method {vad_only,ratio_only,current_only,vad_and_ratio,vad_and_current,all}]
                          [--average-templates] [--exit-count EXIT_COUNT]
                          [--read-entire-input]
                          [--max-chunks-in-queue MAX_CHUNKS_IN_QUEUE]
                          [--skip-probability-threshold SKIP_PROBABILITY_THRESHOLD]
                          [--failed-matches-to-refractory FAILED_MATCHES_TO_REFRACTORY]
                          [--debug]

optional arguments:
  -h, --help            show this help message and exit
  --keyword KEYWORD [KEYWORD ...]
                        Directory with WAV templates and settings (setting-
                        name=value)
  --chunk-size CHUNK_SIZE
                        Number of bytes to read at a time from standard in
                        (default: 1920)
  --record RECORD [RECORD ...]
                        Record example templates to a directory, optionally
                        with given name format (e.g., 'my-
                        keyword-{n:02d}.wav')
  --probability-threshold PROBABILITY_THRESHOLD
                        Probability above which detection occurs (default:
                        0.5)
  --distance-threshold DISTANCE_THRESHOLD
                        Normalized dynamic time warping distance threshold for
                        template matching (default: 0.22)
  --minimum-matches MINIMUM_MATCHES
                        Number of templates that must match to produce output
                        (default: 1)
  --refractory-seconds REFRACTORY_SECONDS
                        Seconds before wake word can be activated again
                        (default: 2)
  --print-all-matches   Print JSON for all matching templates instead of just
                        the first one
  --window-shift-seconds WINDOW_SHIFT_SECONDS
                        Seconds to shift sliding time window on audio buffer
                        (default: 0.02)
  --dtw-window-size DTW_WINDOW_SIZE
                        Size of band around slanted diagonal during dynamic
                        time warping calculation (default: 5)
  --vad-sensitivity {1,2,3}
                        Webrtcvad VAD sensitivity (1-3)
  --current-threshold CURRENT_THRESHOLD
                        Debiased energy threshold of current audio frame
  --max-energy MAX_ENERGY
                        Fixed maximum energy for ratio calculation (default:
                        observed)
  --max-current-ratio-threshold MAX_CURRENT_RATIO_THRESHOLD
                        Threshold of ratio between max energy and current
                        audio frame
  --silence-method {vad_only,ratio_only,current_only,vad_and_ratio,vad_and_current,all}
                        Method for detecting silence
  --average-templates   Average wakeword templates together to reduce number
                        of calculations
  --exit-count EXIT_COUNT
                        Exit after some number of detections (default: never)
  --read-entire-input   Read entire audio input at start and exit after
                        processing
  --max-chunks-in-queue MAX_CHUNKS_IN_QUEUE
                        Maximum number of audio chunks waiting for processing
                        before being dropped
  --skip-probability-threshold SKIP_PROBABILITY_THRESHOLD
                        Skip additional template calculations if probability
                        is below this threshold
  --failed-matches-to-refractory FAILED_MATCHES_TO_REFRACTORY
                        Number of failed template matches before entering
                        refractory period (default: disabled)
  --debug               Print DEBUG messages to the console