Delete benchmarks/dereverb_sisdr

benchmarks/dereverb_sisdr/README.md

@@ -1,8 +0,0 @@
-# Dereverberation baseline (SI-SDRi)
-
-Toy pipeline for generating reverberant speech by convolving clean speech with an RIR, and applying a naive magnitude shrinkage baseline.
-
-Usage: place a short `samples/clean.wav` (not included) and run:
-```bash
-python baseline_dereverb.py
-```

benchmarks/dereverb_sisdr/README.md~

@@ -1,8 +0,0 @@
-# Dereverberation baseline (SI-SDRi)
-
-Toy pipeline for generating reverberant speech by convolving clean speech with an RIR, and applying a naive magnitude shrinkage baseline.
-
-Usage: place a short `samples/clean.wav` (not included) and run:
-```bash
-python baseline_dereverb.py
-```

benchmarks/dereverb_sisdr/baseline_dereverb.py

@@ -1,34 +0,0 @@
-# benchmarks/dereverb_sisdr/baseline_dereverb.py
-import numpy as np, soundfile as sf
-from pathlib import Path
-
-ROOT = Path(__file__).resolve().parents[2]
-CLEAN = ROOT / "samples" / "clean.wav"          # user-provided
-RIR   = ROOT / "samples" / "rir_000053.wav"  # example path
-
-def convolve(x, h):
-    return np.convolve(x, h)[:len(x)]
-
-def sisdr(ref, est, eps=1e-8):
-    ref = ref - np.mean(ref); est = est - np.mean(est)
-    s = np.dot(est, ref) * ref / (np.dot(ref, ref) + eps)
-    e = est - s
-    return 10*np.log10((np.dot(s,s)+eps)/(np.dot(e,e)+eps))
-
-def main():
-    if not CLEAN.exists():
-        raise SystemExit(f"Missing CLEAN wav: {CLEAN}")
-    if not RIR.exists():
-        raise SystemExit(f"Missing example RIR: {RIR}")
-    x, sr = sf.read(CLEAN, dtype="float32")
-    if x.ndim > 1: x = x[:,0]
-    h, _ = sf.read(RIR, dtype="float32")
-    if h.ndim > 1: h = h[:,0]
-    y = convolve(x, h)
-    # naive baseline: shrink magnitude in time (toy)
-    y_hat = y * 0.9
-    print("SI-SDR (rev):", sisdr(x, y))
-    print("SI-SDR (est):", sisdr(x, y_hat))
-
-if __name__ == "__main__":
-    main()