From 936fa82974547c7b77f278b846e3a3b1db3a3474 Mon Sep 17 00:00:00 2001
From: Josef Haupt <josef.haupt@phil.tu-chemnitz.de>
Date: Fri, 20 Oct 2023 13:05:10 +0200
Subject: [PATCH 1/2] raven table output now uses file specific frequencies

---
 analyze.py | 5 ++++-
 audio.py   | 5 +++++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/analyze.py b/analyze.py
index cdd2f45d..2a62f24e 100644
--- a/analyze.py
+++ b/analyze.py
@@ -52,6 +52,9 @@ def saveResultFile(r: dict[str, list], path: str, afile_path: str):
         # Write header
         out_string += header
 
+        # Read native sample rate
+        high_freq = audio.get_sample_rate(afile_path) / 2
+
         # Extract valid predictions for every timestamp
         for timestamp in getSortedTimestamps(r):
             rstring = ""
@@ -66,7 +69,7 @@ def saveResultFile(r: dict[str, list], path: str, afile_path: str):
                         start,
                         end,
                         150,
-                        15000,
+                        high_freq,
                         cfg.CODES[c[0]] if c[0] in cfg.CODES else c[0],
                         label.split("_", 1)[-1],
                         c[1],
diff --git a/audio.py b/audio.py
index 853df91f..d2e0b273 100644
--- a/audio.py
+++ b/audio.py
@@ -29,6 +29,11 @@ def openAudioFile(path: str, sample_rate=48000, offset=0.0, duration=None):
     return sig, rate
 
 
+def get_sample_rate(path: str):
+    import librosa
+    return librosa.get_samplerate(path)
+
+
 def saveSignal(sig, fname: str):
     """Saves a signal to file.
 

From 76aba8aa43be24be83a41d969f6887cb4c4ff34e Mon Sep 17 00:00:00 2001
From: Josef Haupt <josef.haupt@phil.tu-chemnitz.de>
Date: Fri, 20 Oct 2023 13:28:43 +0200
Subject: [PATCH 2/2] cutoff at SIG_FMIN and SIG_FMAX

---
 analyze.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/analyze.py b/analyze.py
index 2a62f24e..7a5a7919 100644
--- a/analyze.py
+++ b/analyze.py
@@ -55,6 +55,9 @@ def saveResultFile(r: dict[str, list], path: str, afile_path: str):
         # Read native sample rate
         high_freq = audio.get_sample_rate(afile_path) / 2
 
+        if high_freq > cfg.SIG_FMAX:
+            high_freq = cfg.SIG_FMAX
+
         # Extract valid predictions for every timestamp
         for timestamp in getSortedTimestamps(r):
             rstring = ""
@@ -68,7 +71,7 @@ def saveResultFile(r: dict[str, list], path: str, afile_path: str):
                         selection_id,
                         start,
                         end,
-                        150,
+                        cfg.SIG_FMIN,
                         high_freq,
                         cfg.CODES[c[0]] if c[0] in cfg.CODES else c[0],
                         label.split("_", 1)[-1],