diff --git a/py/dsp_recorder_plot.py b/py/dsp_recorder_plot.py
new file mode 100644
index 0000000..0ea062c
--- /dev/null
+++ b/py/dsp_recorder_plot.py
@@ -0,0 +1,38 @@
+# Plot the output of a libcw:cwDspTransform.cpp: 'recorder' object.
+
+import sys,os,json
+
+import matplotlib.pyplot as plt
+
+def plot_file( fname ):
+
+    r = None
+    with open(fname,"r") as f:
+        r = json.load(f)
+
+    idx = 0    
+    while True:
+
+        label = "{}".format(idx)
+
+        if label not in r:
+            break
+
+        plt.plot(r[label])
+        
+        idx += 1
+
+    plt.show()
+            
+
+
+if __name__ == "__main__":
+
+    fname = os.path.expanduser("~/temp/temp_1.json")
+
+    if len(sys.argv) > 1:
+        fname = sys.argv[1]
+    
+    plot_file( fname )
+
+    
diff --git a/py/gen_midi_csv.py b/py/gen_midi_csv.py
new file mode 100644
index 0000000..caf8078
--- /dev/null
+++ b/py/gen_midi_csv.py
@@ -0,0 +1,103 @@
+import csv,os
+
+def gen_sample_midi_csv(pitch,velA,note_on_sec,note_off_sec):
+
+    markA = []
+    msgA  = []
+    tpqn  = 1260
+    bpm   = 60
+
+    ticks_per_sec      = tpqn * bpm / 60.0
+    ticks_per_note_on  = ticks_per_sec * note_on_sec
+    ticks_per_note_off = ticks_per_sec * note_off_sec
+    uid                = 0
+    dticks             = 0
+    cur_sec            = 0;
+    
+    r = { 'uid':len(msgA),
+           'tpQN':tpqn,
+           'bpm':bpm,
+           'dticks':0,
+           'ch':None,
+           'status':None,
+           'd0':None,
+           'd1':None }
+
+    msgA.append(r);
+
+    for vel in velA:
+
+        ch     = 0
+        status = 0x90
+        
+        
+        r = { 'uid':len(msgA),
+               'tpQN':None,
+               'bpm':None,
+               'dticks':dticks,
+               'ch':ch,
+               'status':status,
+               'd0':pitch,
+               'd1':vel }
+
+        msgA.append(r)
+
+        dticks = ticks_per_note_on
+        
+        r  = { 'uid':len(msgA),
+               'tpQN':None,
+               'bpm':None,
+               'dticks':dticks,
+               'ch':ch,
+               'status':status,
+               'd0':pitch,
+               'd1':0 }
+
+        msgA.append(r)
+
+        dticks = ticks_per_note_off
+
+        markA.append( (cur_sec, cur_sec+note_on_sec, vel) )
+
+        cur_sec += note_on_sec + note_off_sec
+
+    return msgA,markA
+
+def write_file( fname, msgA ):
+
+    fieldnames = list(msgA[0].keys())
+
+    with open(fname,"w") as f:
+        wtr = csv.DictWriter(f, fieldnames=fieldnames)
+
+        wtr.writeheader()
+
+        for m in msgA:
+            wtr.writerow(m)
+        
+def write_marker_file(fname, markA ):
+
+    with open(fname,"w") as f:
+        for beg_sec,end_sec,vel in markA:
+            f.write(f"{beg_sec}\t{end_sec}\t{vel}\n")
+    
+
+
+if __name__ == "__main__":
+
+    out_dir        = "/home/kevin/temp/wt"
+    note_on_sec    = 1.0
+    note_off_sec   = 0.5
+    pitch          = 60
+    velA           = [1,8,15,22,29,36,42,49,56,63,70,77,84,91,98,105,112,119,126]
+
+    msgA,markA = gen_sample_midi_csv(60,velA,note_on_sec,note_off_sec)
+
+    midi_csv_fname = os.path.join(out_dir,f"{pitch}_sample.csv")
+    mark_fname     = os.path.join(out_dir,f"{pitch}_marker.txt")
+
+    print(midi_csv_fname)
+    print(mark_fname)
+    
+    write_file(midi_csv_fname,msgA)
+    write_marker_file(mark_fname,markA)
diff --git a/py/sample_looper.py b/py/sample_looper.py
new file mode 100644
index 0000000..e881f98
--- /dev/null
+++ b/py/sample_looper.py
@@ -0,0 +1,282 @@
+import math
+import json
+import wave as w
+import array
+import types
+import matplotlib.pyplot as plt
+import numpy as np
+
+def parse_marker_file( marker_fname ):
+
+    markL = []
+    with open(marker_fname) as f:
+        for line in f:
+            tokL = line.split("\t");
+
+            assert( len(tokL) == 3 )
+            
+            markL.append( ( float(tokL[0]), float(tokL[1]), tokL[2] ) )
+
+    return markL
+
+def parse_audio_file( audio_fname ):
+    
+    with w.open(audio_fname,"rb") as f:
+        print(f"ch:{f.getnchannels()} bits:{f.getsampwidth()} srate:{f.getframerate()} frms:{f.getnframes()}")
+
+        srate      = f.getframerate()
+        frmN       = f.getnframes()
+        data_bytes = f.readframes(frmN)
+        smpM       = np.array(array.array('i',data_bytes))
+
+        
+        smpM = np.reshape(smpM,(frmN,2))
+
+        if 0:
+            fig, ax = plt.subplots(1,1)
+
+        
+        
+        
+            ax.plot(smpM[0:48000*10,1])
+            
+            plt.show()
+
+    return smpM,srate
+
+def plot_overlap( xV, bi, ei, wndN, smp_per_cycle, title ):
+
+    fig, ax = plt.subplots(1,1)
+
+    x0 = [ i for i in range(bi-wndN,bi+wndN) ]
+    x1 = [ x-x0[0] for x in x0 ]
+    ax.plot(x1,xV[x0])
+    
+    x0 = [ i for i in range(ei-wndN,ei+wndN) ]
+    x1 = [ x-x0[0] for x in x0 ]
+    ax.plot(x1,xV[x0])
+
+    plt.title(title)
+    
+    plt.show()
+
+def sign(x):
+    return x<0
+
+def find_zero_crossing( xV, si, inc ):
+
+    while si > 0:
+        
+        if sign(xV[si-1]) != sign(xV[si]):
+            break;
+        si += inc
+
+    return si
+
+def meas_fit(xV,ei,bi,wndN):
+
+    v0 = xV[ei-wndN:ei+wndN]/0x7fffffff
+    v1 = xV[bi-wndN:bi+wndN]/0x7fffffff
+
+    dv = (v1-v0) * (v1-v0)
+    return np.mean(dv)
+
+def find_loop_points( xV, bsi, esi, smp_per_cycle, wndN, est_N ):
+
+    ei = find_zero_crossing(xV,esi,-1)
+
+    min_d = None
+    min_bi = None
+    bi = bsi
+    for i in range(0,est_N):
+
+        bi = find_zero_crossing(xV,bi,1)
+
+        d = meas_fit(xV,ei,bi,wndN)
+
+        #print(i,bi,d)
+        
+        if min_bi is None or d < min_d:
+            min_d = d
+            min_bi = bi
+
+        bi += int(wndN/2) #smp_per_cycle
+        
+
+    return min_bi, ei, min_d
+
+def process_all_samples_0( markL, smpM, srate, args ):
+
+    wtL = []
+
+    fund_hz = 13.75 * math.pow(2,(-9.0/12.0)) * math.pow(2.0,(args.midi_pitch / 12.0))
+
+    end_offs_smp_idx = int(args.end_offset_ms * srate / 1000)
+    loop_dur_smp     = int(args.loop_dur_ms   * srate / 1000)
+    smp_per_cycle    = int(srate / fund_hz)
+
+    print(f"Hz:{fund_hz} smp/cycle:{smp_per_cycle}")
+    
+    for beg_sec,end_sec,vel_label in markL:
+        for ch_idx in range(0,smpM.shape[1]):
+            beg_smp_idx = int(beg_sec * srate)
+            end_smp_idx = int(end_sec * srate)
+
+            eli = end_smp_idx - end_offs_smp_idx
+            bli = eli - loop_dur_smp
+
+            #print(beg_smp_idx,bli,eli,end_smp_idx)
+
+            xV    = smpM[:,ch_idx]
+            wndN = int(smp_per_cycle/3)
+            bi,ei,cost = find_loop_points(xV,bli,eli,smp_per_cycle,wndN,args.guess_cnt)
+
+            plot_title = f"vel:{vel_label} ch:{ch_idx} cost:{math.log(cost):.2f}"
+            #plot_overlap(xV,bi,ei,wndN,smp_per_cycle,plot_title)
+
+            wtL.append( {
+                "pitch":args.midi_pitch,
+                "vel": int(vel_label),
+                "cost":cost,
+                "ch_idx":ch_idx,
+                "beg_smp_idx":beg_smp_idx,
+                "end_smp_idx":end_smp_idx,
+                "beg_loop_idx":bi,
+                "end_loop_idx":ei })
+
+    return wtL
+
+
+def process_all_samples( markL, smpM, srate, args ):
+
+    wtL = []
+
+    fund_hz = 13.75 * math.pow(2,(-9.0/12.0)) * math.pow(2.0,(args.midi_pitch / 12.0))
+
+    end_offs_smp_idx = int(args.end_offset_ms * srate / 1000)
+    loop_dur_smp     = int(args.loop_dur_ms   * srate / 1000)
+    smp_per_cycle    = int(srate / fund_hz)
+
+    print(f"Hz:{fund_hz} smp/cycle:{smp_per_cycle}")
+    
+    for beg_sec,end_sec,vel_label in markL:
+
+        beg_smp_idx = int(beg_sec * srate)
+        end_smp_idx = int(end_sec * srate)
+
+        r = {
+            "instr":"piano",
+            "pitch":args.midi_pitch,
+            "vel": int(vel_label),
+            "beg_smp_idx":beg_smp_idx,
+            "end_smp_idx":None,
+            "chL": []                
+        }
+
+        eli = end_smp_idx - end_offs_smp_idx
+        bli = eli - loop_dur_smp
+
+        esi = beg_smp_idx;
+        for ch_idx in range(0,smpM.shape[1]):
+
+            xV    = smpM[:,ch_idx]
+            wndN = int(smp_per_cycle/3)
+            bi,ei,cost = find_loop_points(xV,bli,eli,smp_per_cycle,wndN,args.guess_cnt)
+
+            plot_title = f"vel:{vel_label} ch:{ch_idx} cost:{math.log(cost):.2f}"
+            #plot_overlap(xV,bi,ei,wndN,smp_per_cycle,plot_title)
+
+            r["chL"].append({
+                "ch_idx":ch_idx,
+                "segL":[] })
+
+
+            r["chL"][ch_idx]["segL"].append({
+                "cost":0,
+                "bsi":beg_smp_idx,
+                "esi":bi })
+
+            r["chL"][ch_idx]["segL"].append({
+                "cost":cost,
+                "bsi":bi,
+                "esi":ei })
+            
+            esi = max(esi,ei)
+
+        r['end_smp_idx'] = esi
+        wtL.append(r)
+        
+    return wtL
+
+
+def write_loop_label_file_0( fname, wtL, srate ):
+
+    with open(fname,"w") as f:
+        for r in wtL:
+            beg_sec = r['beg_smp_idx'] / srate
+            end_sec = r['end_smp_idx'] / srate            
+            # f.write(f"{beg_sec}\t{end_sec}\t{r['vel_label']}\n")
+            
+            beg_sec = r['beg_loop_idx'] / srate
+            end_sec = r['end_loop_idx'] / srate
+            cost    = math.log(r['cost'])
+            label = f"ch:{r['ch_idx']} {cost:.2f}"
+            f.write(f"{beg_sec}\t{end_sec}\t{label}\n")
+
+def write_loop_label_file( fname, wtL, srate ):
+
+    with open(fname,"w") as f:
+        for r in wtL:
+            for cr in r['chL']:
+                for sr in cr['segL']:
+                    beg_sec = sr['bsi'] / srate
+                    end_sec = sr['esi'] / srate
+                    if sr['cost']!=0:
+                        cost  = math.log(sr['cost'])
+                        label = f"ch:{cr['ch_idx']} {cost:.2f}"
+                        f.write(f"{r['vel']} {beg_sec}\t{end_sec}\t{label}\n")
+
+            
+def write_wt_file( fname, audio_fname, wtL, srate ):
+
+    r = {
+        "audio_fname":audio_fname,
+        "srate":srate,
+        "wt":wtL
+    }
+
+    
+
+    
+
+    with open(fname,"w") as f:
+        json.dump(r,f);
+        
+
+if __name__ == "__main__":
+
+    audio_fname       = "/home/kevin/temp/wt/wav/60_samples.wav"
+    marker_fname      = "/home/kevin/temp/wt/60_marker.txt"
+    loop_marker_fname = "/home/kevin/temp/wt/60_loop_mark.txt"
+    wt_fname          = "/home/kevin/temp/wt/bank/60_wt.json"
+    midi_pitch        = 60
+                                                          
+    args = {
+        'end_offset_ms':100,
+        'loop_dur_ms':100,
+        'midi_pitch':midi_pitch,
+        'guess_cnt':40
+        
+    }
+    
+    args = types.SimpleNamespace(**args)
+    markL = parse_marker_file(marker_fname)
+    smpM,srate = parse_audio_file(audio_fname)
+    chN = smpM.shape[1]
+    wtL = process_all_samples(markL,smpM,srate,args)
+
+    write_loop_label_file(loop_marker_fname, wtL, srate)
+
+    write_wt_file(wt_fname,audio_fname, wtL,srate)
+
+