[s2t] add whisper asr large model

paddlespeech/s2t/exps/whisper/test_wav.py

@@ -0,0 +1,119 @@
+# Copyright (c) 2022 PaddlePaddle Authors. 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.
+# Modified from Whisper (https://github.com/openai/whisper/whisper/)
+import os.path
+import sys
+
+import distutils
+import numpy as np
+import paddle
+import soundfile
+from yacs.config import CfgNode
+
+from paddlespeech.s2t.models.whisper import ModelDimensions
+from paddlespeech.s2t.models.whisper import transcribe
+from paddlespeech.s2t.models.whisper import Whisper
+from paddlespeech.s2t.training.cli import default_argument_parser
+from paddlespeech.s2t.utils.log import Log
+
+logger = Log(__name__).getlog()
+
+
+class WhisperInfer():
+    def __init__(self, config, args):
+        self.args = args
+        self.config = config
+        self.audio_file = args.audio_file
+
+        paddle.set_device('gpu' if self.args.ngpu > 0 else 'cpu')
+        config.pop("ngpu")
+
+        #load_model
+        model_dict = paddle.load(self.config.model_file)
+        config.pop("model_file")
+        dims = ModelDimensions(**model_dict["dims"])
+        self.model = Whisper(dims)
+        self.model.load_dict(model_dict)
+
+    def run(self):
+        check(args.audio_file)
+
+        with paddle.no_grad():
+            temperature = config.pop("temperature")
+            temperature_increment_on_fallback = config.pop(
+                "temperature_increment_on_fallback")
+            if temperature_increment_on_fallback is not None:
+                temperature = tuple(
+                    np.arange(temperature, 1.0 + 1e-6,
+                              temperature_increment_on_fallback))
+            else:
+                temperature = [temperature]
+
+            result = transcribe(
+                self.model, args.audio_file, temperature=temperature, **config)
+            if args.result_file is not None:
+                with open(args.result_file, 'w') as f:
+                    f.write(str(result))
+            print("result", result)
+            return result
+
+
+def check(audio_file: str):
+    if not os.path.isfile(audio_file):
+        print("Please input the right audio file path")
+        sys.exit(-1)
+
+    logger.info("checking the audio file format......")
+    try:
+        _, sample_rate = soundfile.read(audio_file)
+    except Exception as e:
+        logger.error(str(e))
+        logger.error(
+            "can not open the wav file, please check the audio file format")
+        sys.exit(-1)
+    logger.info("The sample rate is %d" % sample_rate)
+    assert (sample_rate == 16000)
+    logger.info("The audio file format is right")
+
+
+def main(config, args):
+    WhisperInfer(config, args).run()
+
+
+if __name__ == "__main__":
+    parser = default_argument_parser()
+    # save asr result to
+    parser.add_argument(
+        "--result_file", type=str, help="path of save the asr result")
+    parser.add_argument(
+        "--audio_file", type=str, help="path of the input audio file")
+    parser.add_argument(
+        "--debug",
+        type=distutils.util.strtobool,
+        default=False,
+        help="for debug.")
+    args = parser.parse_args()
+
+    config = CfgNode(new_allowed=True)
+
+    if args.config:
+        config.merge_from_file(args.config)
+    if args.decode_cfg:
+        decode_confs = CfgNode(new_allowed=True)
+        decode_confs.merge_from_file(args.decode_cfg)
+        config.decode = decode_confs
+    if args.opts:
+        config.merge_from_list(args.opts)
+    config.freeze()
+    main(config, args)

paddlespeech/s2t/models/whisper/__init__.py

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+# MIT License, Copyright (c) 2022 OpenAI.
+# Copyright (c) 2022 PaddlePaddle Authors and . All Rights Reserved.
+# 
+# Modified from OpenAI Whisper 2022 (https://github.com/openai/whisper/whisper/__init__.py)
+from paddlespeech.s2t.models.whisper.whipser import decode
+from paddlespeech.s2t.models.whisper.whipser import DecodingOptions
+from paddlespeech.s2t.models.whisper.whipser import DecodingResult
+from paddlespeech.s2t.models.whisper.whipser import detect_language
+from paddlespeech.s2t.models.whisper.whipser import log_mel_spectrogram
+from paddlespeech.s2t.models.whisper.whipser import ModelDimensions
+from paddlespeech.s2t.models.whisper.whipser import transcribe
+from paddlespeech.s2t.models.whisper.whipser import Whisper