v3: inaSpeechSegmenter CLI pipeline

Adopts inaSpeechSegmenter (singing classified as music). Full argparse CLI: gap-merge nearby segments, min-duration filter, EDL + CSV export. Engine that all later versions keep.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

v3_inaseg_cli/setup_windows.bat

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+@echo off
+REM ============================================
+REM  Singing Detector - Quick Setup (Windows)
+REM ============================================
+REM  Run this in Anaconda Prompt / PowerShell
+REM  Prerequisites: conda, ffmpeg in PATH
+REM ============================================
+
+echo.
+echo ============================================
+echo  Singing Segment Detector - Setup
+echo ============================================
+echo.
+
+REM Step 1: Create conda environment
+echo [1/4] Creating conda environment (python 3.11)...
+call conda create -n singing-detector python=3.11 -y
+if %ERRORLEVEL% neq 0 (
+    echo ERROR: Failed to create conda environment.
+    pause
+    exit /b 1
+)
+
+REM Activate environment
+call conda activate singing-detector
+
+REM Step 2: Install TensorFlow with GPU support
+echo.
+echo [2/4] Installing TensorFlow (GPU)...
+pip install tensorflow[and-cuda]
+if %ERRORLEVEL% neq 0 (
+    echo WARNING: GPU TensorFlow install failed, trying CPU version...
+    pip install tensorflow
+)
+
+REM Step 3: Install inaSpeechSegmenter
+echo.
+echo [3/4] Installing inaSpeechSegmenter...
+pip install inaSpeechSegmenter
+
+REM Step 4: Verify
+echo.
+echo [4/4] Verifying installation...
+python -c "from inaSpeechSegmenter import Segmenter; print('inaSpeechSegmenter OK!')"
+python -c "import tensorflow as tf; gpus = tf.config.list_physical_devices('GPU'); print(f'TensorFlow GPUs: {gpus}' if gpus else 'TensorFlow: CPU only')"
+
+echo.
+echo ============================================
+echo  Setup complete!
+echo ============================================
+echo.
+echo  Usage:
+echo    conda activate singing-detector
+echo    python detect_singing.py "path\to\stream.mp4"
+echo.
+pause