sl-jetson
55261c0b72
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- Add SpeechTranscript.language (BCP-47), ConversationResponse.language fields
- speech_pipeline_node: whisper_language param (""=auto-detect via Whisper LID);
detected language published in every transcript
- conversation_node: track per-speaker language; inject "[Please respond in X.]"
hint for non-English speakers; propagate language to ConversationResponse.
_LANG_NAMES: 24 BCP-47 codes -> English names. Also adds Issue #161 emotion
context plumbing (co-located in same branch for clean merge)
- tts_node: voice_map_json param (JSON BCP-47->ONNX path); lazy voice loading
per language; playback queue now carries (text, lang) tuples for voice routing
- speech_params.yaml, tts_params.yaml: new language params with docs
- 47/47 tests pass (test_multilang.py)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
15 lines
570 B
YAML
15 lines
570 B
YAML
speech_pipeline_node:
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ros__parameters:
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mic_device_index: -1 # -1 = system default; use `arecord -l` to list
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sample_rate: 16000
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wake_word_model: "hey_salty"
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wake_word_threshold: 0.5
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vad_threshold_db: -35.0
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use_silero_vad: true
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whisper_model: "small" # small (~500ms), medium (better quality, ~900ms)
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whisper_compute_type: "float16"
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whisper_language: "" # "" = auto-detect; set e.g. "fr" to force
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speaker_threshold: 0.65
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speaker_db_path: "/social_db/speaker_embeddings.json"
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publish_partial: true
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