Add Computer wakeword and selector
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supersensor.yaml
127
supersensor.yaml
@ -103,6 +103,11 @@ globals:
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restore_value: no
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initial_value: "0"
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- id: current_wake_word
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type: std::string
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restore_value: yes
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initial_value: '"mww_computer"'
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script:
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- id: light_off
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then:
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@ -378,6 +383,8 @@ micro_wake_word:
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gain_factor: 4
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stop_after_detection: false
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models:
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- model: github://genehand/Custom_V2_MicroWakeWords/models/computer/computer.json@update-json
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id: mww_computer
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- model: github://esphome/micro-wake-word-models/models/v2/hey_jarvis.json
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id: mww_hey_jarvis
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- model: github://esphome/micro-wake-word-models/models/v2/hey_mycroft.json
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@ -1120,34 +1127,100 @@ select:
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name: "LD2410C Distance Resolution"
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- platform: template
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name: "Wake word sensitivity"
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optimistic: true
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initial_option: Moderately sensitive
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restore_value: true
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entity_category: config
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name: "Wake Word Selector"
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id: wake_word_selector
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options:
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- Slightly sensitive
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- Moderately sensitive
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- "Computer"
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- "Hey Jarvis"
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- "Hey Mycroft"
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- "Okay Nabu"
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- "Alexa"
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initial_option: "Computer"
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optimistic: true
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restore_value: true
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set_action:
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# Disable models that aren't selected
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- if:
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condition:
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lambda: 'return x != "Computer";'
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then:
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- micro_wake_word.disable_model: mww_computer
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- if:
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condition:
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lambda: 'return x != "Hey Jarvis";'
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then:
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- micro_wake_word.disable_model: mww_hey_jarvis
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- if:
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condition:
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lambda: 'return x != "Hey Mycroft";'
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then:
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- micro_wake_word.disable_model: mww_hey_mycroft
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- if:
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condition:
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lambda: 'return x != "Okay Nabu";'
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then:
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- micro_wake_word.disable_model: mww_okay_nabu
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- if:
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condition:
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lambda: 'return x != "Alexa";'
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then:
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- micro_wake_word.disable_model: mww_alexa
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# Enable model we selected
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- if:
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condition:
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lambda: 'return x == "Computer";'
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then:
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- micro_wake_word.enable_model: mww_computer
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- if:
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condition:
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lambda: 'return x == "Hey Jarvis";'
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then:
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- micro_wake_word.enable_model: mww_hey_jarvis
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- if:
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condition:
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lambda: 'return x == "Hey Mycroft";'
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then:
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- micro_wake_word.enable_model: mww_hey_mycroft
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- if:
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condition:
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lambda: 'return x == "Okay Nabu";'
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then:
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- micro_wake_word.enable_model: mww_okay_nabu
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- if:
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condition:
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lambda: 'return x == "Alexa";'
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then:
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- micro_wake_word.enable_model: mww_alexa
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- platform: template
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name: "Wake Word Sensitivity"
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optimistic: true
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initial_option: Default
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restore_value: true
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options:
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- Default
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- More sensitive
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- Very sensitive
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on_value:
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set_action:
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# Sets specific wake word probabilities computed for each particular model
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# Note probability cutoffs are set as a quantized uint8 value, each comment has the corresponding floating point cutoff
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# False Accepts per Hour values are tested against all units and channels from the Dinner Party Corpus.
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# These cutoffs apply only to the specific models included in the firmware: okay_nabu@20241226.3, hey_jarvis@v2, hey_mycroft@v2
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lambda: |-
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if (x == "Slightly sensitive") {
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id(mww_hey_jarvis).set_probability_cutoff(247); // 0.97 -> 0.563 FAPH on DipCo (Manifest's default)
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id(mww_hey_mycroft).set_probability_cutoff(253); // 0.99 -> 0.567 FAPH on DipCo
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id(mww_okay_nabu).set_probability_cutoff(217); // 0.85 -> 0.000 FAPH on DipCo (Manifest's default)
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id(mww_alexa).set_probability_cutoff(217); // 0.85 -> 0.000 FAPH on DipCo (Manifest's default)
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} else if (x == "Moderately sensitive") {
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id(mww_hey_jarvis).set_probability_cutoff(235); // 0.92 -> 0.939 FAPH on DipCo
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id(mww_hey_mycroft).set_probability_cutoff(242); // 0.95 -> 1.502 FAPH on DipCo (Manifest's default)
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id(mww_okay_nabu).set_probability_cutoff(176); // 0.69 -> 0.376 FAPH on DipCo
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id(mww_alexa).set_probability_cutoff(176); // 0.69 -> 0.376 FAPH on DipCo
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} else if (x == "Very sensitive") {
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id(mww_hey_jarvis).set_probability_cutoff(212); // 0.83 -> 1.502 FAPH on DipCo
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id(mww_hey_mycroft).set_probability_cutoff(237); // 0.93 -> 1.878 FAPH on DipCo
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id(mww_okay_nabu).set_probability_cutoff(143); // 0.56 -> 0.751 FAPH on DipCo
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id(mww_alexa).set_probability_cutoff(143); // 0.56 -> 0.751 FAPH on DipCo
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}
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- lambda: |-
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if (x == "Default") {
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id(mww_computer).set_probability_cutoff(168); // 0.66 (default)
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id(mww_hey_jarvis).set_probability_cutoff(247); // 0.97 (default)
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id(mww_hey_mycroft).set_probability_cutoff(242); // 0.95 (default)
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id(mww_okay_nabu).set_probability_cutoff(217); // 0.85 (default)
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id(mww_alexa).set_probability_cutoff(217); // 0.85 (default)
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} else if (x == "More sensitive") {
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id(mww_computer).set_probability_cutoff(153); // 0.60
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id(mww_hey_jarvis).set_probability_cutoff(235); // 0.92
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id(mww_hey_mycroft).set_probability_cutoff(237); // 0.93
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id(mww_okay_nabu).set_probability_cutoff(176); // 0.69
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id(mww_alexa).set_probability_cutoff(176); // 0.69
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} else if (x == "Very sensitive") {
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id(mww_computer).set_probability_cutoff(138); // 0.54
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id(mww_hey_jarvis).set_probability_cutoff(212); // 0.83
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id(mww_hey_mycroft).set_probability_cutoff(230); // 0.90
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id(mww_okay_nabu).set_probability_cutoff(143); // 0.56
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id(mww_alexa).set_probability_cutoff(143); // 0.56
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}
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