diff --git a/opendbm/api_lib/verbal_acoustics/api.py b/opendbm/api_lib/verbal_acoustics/api.py
new file mode 100644
index 00000000..a9d345ab
--- /dev/null
+++ b/opendbm/api_lib/verbal_acoustics/api.py
@@ -0,0 +1,154 @@
+import os
+from collections import OrderedDict
+
+from opendbm.api_lib.model import AudioModel
+from opendbm.api_lib.util import check_file, check_isfile
+from opendbm.dbm_lib.controller import process_feature as pf
+
+from ._audio_intensity import AudioIntensity
+from ._formant_frequency import FormantFrequency
+from ._glottal_noise import GlottalNoiseRatio
+from ._harmonic_noise import HarmonicsNoiseRatio
+from ._jitter import Jitter
+from ._mfcc import MFCC
+from ._pause_characteristics import PauseCharacteristics
+from ._pitch_frequency import PitchFrequency
+from ._shimmer import Shimmer
+from ._voice_prevalence import VoicePrevalence
+
+
+class VerbalAcoustics(AudioModel):
+    def __init__(self):
+        super().__init__()
+        self._auint = AudioIntensity()
+        self._pitchfreq = PitchFrequency()
+        self._forfreq = FormantFrequency()
+        self._hnr = HarmonicsNoiseRatio()
+        self._gne = GlottalNoiseRatio()
+        self._jitter = Jitter()
+        self._shimmer = Shimmer()
+        self._pchar = PauseCharacteristics()
+        self._vopre = VoicePrevalence()
+        self._mfcc = MFCC()
+        self._models = OrderedDict(
+            {
+                "audio_intensity": self._auint,
+                "pitch_frequency": self._pitchfreq,
+                "formant_frequency": self._forfreq,
+                "harmonic_noise": self._hnr,
+                "glottal_noise": self._gne,
+                "jitter": self._jitter,
+                "shimmer": self._shimmer,
+                "pause_characteristics": self._pchar,
+                "voice_prevalence": self._vopre,
+                "mfcc": self._mfcc,
+            }
+        )
+
+    def fit(self, path):
+        """Fit a file in filepath to parselmouth Model.
+
+        Parameters
+        ----------
+        path : string,
+            File Path of Video/Sound file format.
+        """
+        check_isfile(path)
+        path, is_wav = check_file(path)
+        for k, v in self._models.items():
+            if k in ["glottal_noise", "jitter", "shimmer"]:
+                v._df = v._fit_transform(path, ff_df=self._pitchfreq._df)
+            else:
+                v._df = v._fit_transform(path)
+        if not is_wav:
+            os.remove(path)
+
+    def get_audio_intensity(self):
+        """
+        Get the model object of Audio Intensity
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._auint
+
+    def get_pitch_frequency(self):
+        """
+        Get the model object of Pitch Frequency
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._pitchfreq
+
+    def get_formant_frequency(self):
+        """
+        Get the model object of Formant Frequency
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._forfreq
+
+    def get_harmonic_noise(self):
+        """
+        Get the model object of Harmonic Noise
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._hnr
+
+    def get_glottal_noise(self):
+        """
+        Get the model object of Glottal Noise
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._gne
+
+    def get_jitter(self):
+        """
+        Get the model object of Jitter
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._jitter
+
+    def get_shimmer(self):
+        """
+        Get the model object of Shimmer
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._shimmer
+
+    def get_pause_characteristics(self):
+        """
+        Get the model object of Pause Characteristics
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._pchar
+
+    def get_voice_prevalence(self):
+        """
+        Get the model object of Vocal Prevalence
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._vopre
+
+    def get_mfcc(self):
+        """
+        Get the model object of MFCC
+        Returns:
+        self: object
+            Model Object
+        """
+        return self._mfcc