diff --git a/modules/speech_recognition/whisper_module.py b/modules/speech_recognition/whisper_module.py
index 056b849..551ac89 100644
--- a/modules/speech_recognition/whisper_module.py
+++ b/modules/speech_recognition/whisper_module.py
@@ -1,57 +1,56 @@
-"""
-Speech-to-text module based on Whisper for SillyTavern Extras
-    - Whisper github: https://github.com/openai/whisper
-
-Authors:
-    - Tony Ribeiro (https://github.com/Tony-sama)
-
-Models are saved into user cache folder, example: C:/Users/toto/.cache/whisper
-
-References:
-    - Code adapted from:
-        - whisper github: https://github.com/openai/whisper
-        - oobabooga text-generation-webui github: https://github.com/oobabooga/text-generation-webui
-"""
-from flask import jsonify, abort, request
-
-import whisper
-
-DEBUG_PREFIX = "<stt whisper module>"
-RECORDING_FILE_PATH = "stt_test.wav"
-
-model = None
-
-def load_model(file_path=None):
-    """
-    Load given vosk model from file or default to en-us model.
-    Download model to user cache folder, example: C:/Users/toto/.cache/vosk
-    """
-
-    if file_path is None:
-        return whisper.load_model("base.en")
-    else:
-        return whisper.load_model(file_path)
-
-def process_audio():
-    """
-    Transcript request audio file to text using Whisper
-    """
-
-    if model is None:
-        print(DEBUG_PREFIX,"Whisper model not initialized yet.")
-        return ""
-
-    try:
-        file = request.files.get('AudioFile')
-        language = request.form.get('language', default=None)
-        file.save(RECORDING_FILE_PATH)
-
-        result = model.transcribe(RECORDING_FILE_PATH, condition_on_previous_text=False, language=language)
-        transcript = result["text"]
-        print(DEBUG_PREFIX, "Transcripted from audio file (whisper):", transcript)
-
-        return jsonify({"transcript": transcript})
-
-    except Exception as e: # No exception observed during test but we never know
-        print(e)
-        abort(500, DEBUG_PREFIX+" Exception occurs while processing audio")
+"""
+Speech-to-text module based on Whisper for SillyTavern Extras
+    - Whisper github: https://github.com/openai/whisper
+
+Authors:
+    - Tony Ribeiro (https://github.com/Tony-sama)
+
+Models are saved into user cache folder, example: C:/Users/toto/.cache/whisper
+
+References:
+    - Code adapted from:
+        - whisper github: https://github.com/openai/whisper
+        - oobabooga text-generation-webui github: https://github.com/oobabooga/text-generation-webui
+"""
+from flask import jsonify, abort, request
+
+from faster_whisper import WhisperModel
+
+DEBUG_PREFIX = "<stt whisper module>"
+RECORDING_FILE_PATH = "stt_test.wav"
+
+model_size = "large-v3-turbo"
+
+model = WhisperModel(model_size, device="cuda", compute_type="float16")
+
+def load_model(file_path=None):
+    """
+    Load given vosk model from file or default to en-us model.
+    Download model to user cache folder, example: C:/Users/toto/.cache/vosk
+    """
+    return WhisperModel(model_size, device="cuda", compute_type="float16")
+
+def process_audio():
+    """
+    Transcript request audio file to text using Whisper
+    """
+
+    if model is None:
+        print(DEBUG_PREFIX,"Whisper model not initialized yet.")
+        return WhisperModel(model_size, device="cuda", compute_type="float16")
+
+    try:
+        file = request.files.get('AudioFile')
+        language = request.form.get('language', default=None)
+        file.save(RECORDING_FILE_PATH)
+        segments, info = model.transcribe(RECORDING_FILE_PATH, beam_size=5)
+        transcript=""
+        for segment in segments:
+            transcript=transcript+" "+segment.text
+        print(DEBUG_PREFIX, "Transcripted from audio file (whisper):", transcript)
+
+        return jsonify({"transcript": transcript})
+
+    except Exception as e: # No exception observed during test but we never know
+        print(e)
+        abort(500, DEBUG_PREFIX+" Exception occurs while processing audio")