update technical spec with benchmarking placeholders

.context/technical_spec.md

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+## core components
+- **base model:** mistral voxtral.
+- **synthesis engine:** elevenlabs v3 with emotional tag support.
+- **tracking and evaluation:** weights and biases.
+- **platform:** hugging face for model and adapter hosting.
+
+## architecture
+1. **ingestion:** raw audio signals are processed for input to the fine-tuned voxtral model.
+2. **inference:** model performs simultaneous automatic speech recognition and emotion classification.
+3. **output format:** transcription output uses interleaved text and emotional metadata tags.
+4. **synthesis phase:** text and emotion tags are sent to elevenlabs v3 api to generate expressive high-fidelity audio.
+
+## integration points
+- **elevenlabs v3 api:** handles the conversion of tagged text into emotional audio output.
+- **weights and biases weave:** used for tracing the end-to-end pipeline from recognition to synthesis.
+- **hugging face hub:** serves as the repository for fine-tuned weights and dataset storage.
+
+## performance metrics
+- word error rate for transcription quality.
+- f1 score for emotion detection accuracy.
+- mean opinion score for synthesis naturalness and emotional alignment.
+
+## benchmarking and evals
+@yongkang fill this up.