feat: TTS personality engine (Issue #494)
Implement context-aware text-to-speech with emotion-driven expression for SaltyBot. Features: ✓ Context-aware greetings (time of day, person names, emotion) ✓ Priority queue management (safety > social > idle) ✓ Emotion-based rate/pitch modulation (happy: faster+higher, sad: slower+lower) ✓ Integration with emotion engine (Issue #429) and TTS service (Issue #421) ✓ Configurable personality parameters ✓ Person recognition for personalized responses ✓ Queue management with 16-item buffer Architecture: Node: tts_personality_node - Subscribes: /saltybot/tts_request, /saltybot/emotion_state, /saltybot/person_detected - Publishes: /saltybot/tts_command (formatted for TTS service), /saltybot/personality_state - Runs worker thread for asynchronous queue processing Personality Parameters: - Name: "Luna" (default, configurable) - Speed modulation: happy=1.1x, sad=0.9x, neutral=1.0x - Pitch modulation: happy=1.15x, sad=0.85x, neutral=1.0x - Time-based greetings for 4 periods (morning, afternoon, evening, night) - Known people mapping for personalization Queue Priority Levels: - SAFETY (3): Emergency/safety messages - SOCIAL (2): Greetings and interactions - IDLE (1): Commentary and chatter - NORMAL (0): Default messages Files Created: - saltybot_tts_personality package with main personality node - config/tts_personality_params.yaml with configurable parameters - launch/tts_personality.launch.py for easy startup - Unit tests for personality context and emotion handling - Comprehensive README with usage examples Integration Points: - Emotion engine (Issue #429): Listens to emotion updates - TTS service (Issue #421): Publishes formatted commands - Jabra SPEAK 810: Output audio device - Person tracking: Uses detected person names Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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from launch import LaunchDescription
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from launch.actions import DeclareLaunchArgument
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from launch.substitutions import LaunchConfiguration
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from launch_ros.actions import Node
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from launch_ros.substitutions import FindPackageShare
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from pathlib import Path
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def generate_launch_description():
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pkg_share = FindPackageShare("saltybot_sensor_fusion")
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config_dir = Path(str(pkg_share)) / "config"
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config_file = str(config_dir / "sensor_fusion_params.yaml")
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lidar_topic_arg = DeclareLaunchArgument(
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"lidar_topic",
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default_value="/scan",
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description="RPLIDAR topic"
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)
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depth_topic_arg = DeclareLaunchArgument(
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"depth_topic",
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default_value="/depth_scan",
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description="RealSense depth_to_laserscan topic"
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)
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sensor_fusion_node = Node(
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package="saltybot_sensor_fusion",
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executable="sensor_fusion",
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name="sensor_fusion",
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parameters=[
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config_file,
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{"lidar_topic": LaunchConfiguration("lidar_topic")},
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{"depth_topic": LaunchConfiguration("depth_topic")},
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],
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output="screen",
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)
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return LaunchDescription([
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lidar_topic_arg,
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depth_topic_arg,
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sensor_fusion_node,
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])
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