diff --git a/speech/snippets/transcribe_async.py b/speech/snippets/transcribe_async.py
deleted file mode 100644
index 5ab85d624883..000000000000
--- a/speech/snippets/transcribe_async.py
+++ /dev/null
@@ -1,110 +0,0 @@
-#!/usr/bin/env python
-
-# Copyright 2017 Google Inc. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""Google Cloud Speech API sample application using the REST API for async
-batch processing.
-Example usage:
-    python transcribe_async.py resources/audio.raw
-    python transcribe_async.py gs://cloud-samples-tests/speech/vr.flac
-"""
-
-import argparse
-import io
-
-
-# [START speech_transcribe_async]
-def transcribe_file(speech_file):
-    """Transcribe the given audio file asynchronously."""
-    from google.cloud import speech
-
-    client = speech.SpeechClient()
-
-    # [START speech_python_migration_async_request]
-    with io.open(speech_file, "rb") as audio_file:
-        content = audio_file.read()
-
-    """
-     Note that transcription is limited to a 60 seconds audio file.
-     Use a GCS file for audio longer than 1 minute.
-    """
-    audio = speech.RecognitionAudio(content=content)
-
-    config = speech.RecognitionConfig(
-        encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
-        sample_rate_hertz=16000,
-        language_code="en-US",
-    )
-
-    # [START speech_python_migration_async_response]
-
-    operation = client.long_running_recognize(config=config, audio=audio)
-    # [END speech_python_migration_async_request]
-
-    print("Waiting for operation to complete...")
-    response = operation.result(timeout=90)
-
-    # Each result is for a consecutive portion of the audio. Iterate through
-    # them to get the transcripts for the entire audio file.
-    for result in response.results:
-        # The first alternative is the most likely one for this portion.
-        print(u"Transcript: {}".format(result.alternatives[0].transcript))
-        print("Confidence: {}".format(result.alternatives[0].confidence))
-    # [END speech_python_migration_async_response]
-
-
-# [END speech_transcribe_async]
-
-
-# [START speech_transcribe_async_gcs]
-def transcribe_gcs(gcs_uri):
-    """Asynchronously transcribes the audio file specified by the gcs_uri."""
-    from google.cloud import speech
-
-    client = speech.SpeechClient()
-
-    audio = speech.RecognitionAudio(uri=gcs_uri)
-    config = speech.RecognitionConfig(
-        encoding=speech.RecognitionConfig.AudioEncoding.FLAC,
-        sample_rate_hertz=16000,
-        language_code="en-US",
-    )
-
-    operation = client.long_running_recognize(config=config, audio=audio)
-
-    print("Waiting for operation to complete...")
-    response = operation.result(timeout=90)
-
-    # Each result is for a consecutive portion of the audio. Iterate through
-    # them to get the transcripts for the entire audio file.
-    for result in response.results:
-        # The first alternative is the most likely one for this portion.
-        print(u"Transcript: {}".format(result.alternatives[0].transcript))
-        print("Confidence: {}".format(result.alternatives[0].confidence))
-
-
-# [END speech_transcribe_async_gcs]
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(
-        description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
-    )
-    parser.add_argument("path", help="File or GCS path for audio file to be recognized")
-    args = parser.parse_args()
-    if args.path.startswith("gs://"):
-        transcribe_gcs(args.path)
-    else:
-        transcribe_file(args.path)