JarbasAl

import os
import shutil
from os.path import basename, dirname
import subprocess
from yapf.yapflib.yapf_api import FormatCode

IMPORTS_MAP = {
    "IntentQueryApi": "from ovos_utils.intents.intent_service_interface import IntentQueryApi # TODO - deprecated utils 0.1.0",
    "save_settings": "save_settings = lambda a, b: None # TODO - DEPRECATED use self.settings.store()",
    "make_priority_skill": "make_priority_skill = lambda k: False # TODO - DEPRECATED, add RuntimeRequirements classproperty instead",

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TOTAL ESTIMATE

~7000 UNIQUE STRINGS

• LINGUA FRANCA TOTAL UNIQUE STRINGS: 760
• OVOS CLASSIFIERS TOTAL UNIQUE STRINGS: 310
• SKILLS TOTAL UNIQUE STRINGS: 5979

---

OVOS + Hatchery store skills

JarbasAl

Individual Device

OVOS provides a list of public servers maintained by trusted community members, no account needed

For SBCs like the raspberry pi 3 or where minimum latency is desired it might be benefitial to offload STT and TTS to a more powerful server, such as a OVOS public server or a commercial service (google, amazon...)

JarbasAl

import json
from rich.console import Console
from rich.table import Table
from rich.json import JSON
from threading import Lock
from ovos_bus_client import MessageBusClient, Message
from ovos_config import Configuration
import sys
import time

JarbasAl

Building blocks

OVOS offer many "types" of plugins, each can be replaced at any point with a different version, this allows you to endlessly customize OVOS!

• Case Study 1: Offline OpenVoiceOS
• Case Study 2: Cloud Services + OpenVoiceOS
  • Case Study 2.5: Fallback Plugins
• Case Study 3: Home Server
  • Case Study 3.5: Simple Voice Satellite
• Case Study 4: Your own interface

JarbasAl

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JarbasAl

STT - tips and tricks

Saving Transcriptions

You can enable saving of recordings to file, this should be your first step to diagnose problems, is the audio inteligible? is it being cropped? too noisy? low volume?

set "save_utterances": true in your listener config, recordings will be saved to ~/.local/share/mycroft/listener/utterances

If the recorded audio looks good to you, maybe you need to use a different STT plugin, maybe the one you are using does not like your microphone, or just isn't very good for your language

JarbasAl

JarbasAl

import joblib
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.datasets import make_classification
from sklearn.decomposition import PCA
from sklearn.ensemble import RandomForestClassifier
from sklearn.feature_extraction import DictVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split

JarbasAl

from typing import Tuple, Dict, List

import spacy
from spacy.cli import download
from spacy.tokens import Token


class DependencyParser:
    def __init__(self):
        self.NEGATION = {"no", "not", "n't", "never", "none"}