diff --git a/whispercpp.pyx b/whispercpp.pyx
index 486e1fc..2f853bc 100644
--- a/whispercpp.pyx
+++ b/whispercpp.pyx
@@ -30,20 +30,20 @@ MODELS = {
 }
 
 def model_exists(model):
-    return os.path.exists(MODELS_DIR + "/" + model.decode())
+    return os.path.exists(Path(MODELS_DIR).joinpath(model))
 
 def download_model(model):
     if model_exists(model):
         return
 
     print(f'Downloading {model}...')
-    url = MODELS[model.decode()]
+    url = MODELS[model]
     r = requests.get(url, allow_redirects=True)
-    with open(MODELS_DIR + "/" + model.decode(), 'wb') as f:
+    with open(Path(MODELS_DIR).joinpath(model), 'wb') as f:
         f.write(r.content)
 
 
-cdef audio_data load_audio(bytes file, int sr = SAMPLE_RATE):
+cdef cnp.ndarray[cnp.float32_t, ndim=1, mode="c"] load_audio(bytes file, int sr = SAMPLE_RATE):
     try:
         out = (
             ffmpeg.input(file, threads=0)
@@ -67,11 +67,7 @@ cdef audio_data load_audio(bytes file, int sr = SAMPLE_RATE):
         .astype(np.float32)
     ) / pow(2, 15)
 
-    cdef audio_data data;
-    data.frames = &frames[0]
-    data.n_frames = len(frames)
-
-    return data
+    return frames
 
 cdef whisper_full_params default_params() nogil:
     cdef whisper_full_params params = whisper_full_default_params(
@@ -92,7 +88,8 @@ cdef class Whisper:
     def __init__(self, model=DEFAULT_MODEL, pb=None):
         model_fullname = f'ggml-{model}.bin'.encode('utf8')
         download_model(model_fullname)
-        cdef bytes model_b = MODELS_DIR.encode('utf8')  + b'/' + model_fullname
+        model_path = Path(MODELS_DIR).joinpath(model_fullname)
+        cdef bytes model_b = str(model_path).encode('utf8')
         self.ctx = whisper_init(model_b)
         self.params = default_params()
         whisper_print_system_info()
@@ -102,9 +99,10 @@ cdef class Whisper:
 
     def transcribe(self, filename=TEST_FILE):
         print("Loading data..")
-        cdef audio_data data = load_audio(<bytes>filename)
+        cdef cnp.ndarray[cnp.float32_t, ndim=1, mode="c"] frames = load_audio(<bytes>filename)
+
         print("Transcribing..")
-        return whisper_full(self.ctx, self.params, data.frames, data.n_frames)
+        return whisper_full(self.ctx, self.params, &frames[0], len(frames))
     
     def extract_text(self, int res):
         print("Extracting text...")