diff --git a/opendbm/api_lib/speech/api.py b/opendbm/api_lib/speech/api.py
new file mode 100644
index 00000000..d4dd1dc7
--- /dev/null
+++ b/opendbm/api_lib/speech/api.py
@@ -0,0 +1,73 @@
+import logging
+import os
+
+from opendbm.api_lib import DEEEPSPEECH_URL, DEEPSPEECH_MODELS, OPENDBM_DATA, AudioModel
+from opendbm.api_lib.util import check_file, check_isfile, download_url
+
+from ._speech_features import SpeechFeature
+from ._transcribe import Transcribe
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger()
+
+
+class Speech(AudioModel):
+    def __init__(self):
+        super().__init__()
+        self._transcribe = Transcribe()
+        self._speech_features = SpeechFeature()
+        self._models = {
+            "transcribe": self._transcribe,
+            "speech_features": self._speech_features,
+        }
+
+    def fit(self, path):
+        """Fit a file in filepath to Deepspeech Model.
+
+        Parameters
+        ----------
+        path : string,
+            File Path of Video/Sound file format.
+        """
+        check_isfile(path)
+        self._check_model_exists()
+        path, is_wav = check_file(path)
+        for v in self._models.values():
+            v._df = v._fit_transform(path)
+        if not is_wav:
+            os.remove(path)
+
+    @staticmethod
+    def _check_model_exists():
+        """
+        Check if deepspeech model is exists. if not, download to OPENDBM Directory.
+        """
+        if not OPENDBM_DATA.exists():
+            os.mkdir(OPENDBM_DATA)
+        for dm in DEEPSPEECH_MODELS:
+            pt = OPENDBM_DATA / dm
+            if not pt.exists():
+                logger.info(
+                    f"{dm} not exists. Automatically downloading to {OPENDBM_DATA}/"
+                )
+                download_url(f"{DEEEPSPEECH_URL}/{dm}", pt)
+            else:
+                continue
+
+    def get_transcribe(self):
+        """
+        Get the model object of Transcribe
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._transcribe
+
+    def get_speech_features(self):
+        """
+        Get the model object of Speech Features
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._speech_features