sl-jetson
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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>
12 lines
548 B
Plaintext
12 lines
548 B
Plaintext
# SpeechTranscript.msg — Result of STT with speaker identification.
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# Published by speech_pipeline_node on /social/speech/transcript
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std_msgs/Header header
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string text # Transcribed text (UTF-8)
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string speaker_id # e.g. "person_42" or "unknown"
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float32 confidence # ASR confidence 0..1
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float32 audio_duration # Duration of the utterance in seconds
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bool is_partial # true = intermediate streaming result, false = final
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string language # BCP-47 detected language code e.g. "en" "fr" "es" (empty = unknown)
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