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"}}},{"cell_type":"markdown","source":"# Credits\n[DL Sprint - BUET CSE Fest 2022](https://www.kaggle.com/competitions/dlsprint/overview) was indeed the first Bengali ASR (Automatic Speech Recognition) competition of its kind organized by the **Department of Computer Science and Engineering and Engineering, BUET** in partnership with **Bengali.AI**. The competition utilized a dataset of approximately 400 hours of Bengali audio clips collected through Common Voice. The winning solution by **Team YellowKing** from **DLSprint 2022** has been applied in this inference notebook. Please upvote the [original notebook](https://www.kaggle.com/code/sameen53/yellowking-dlsprint-inference) created by **Team YellowKing** as they deserve full credit for their work.","metadata":{}},{"cell_type":"markdown","source":"# 1. Installing Dependencies","metadata":{}},{"cell_type":"code","source":"%%sh\ncp -r ../input/python-packages2 ./\ntar xvfz ./python-packages2/jiwer.tgz\ntar xvfz ./python-packages2/normalizer.tgz\ntar xvfz ./python-packages2/pyctcdecode.tgz\ntar xvfz ./python-packages2/pypikenlm.tgz\n\npip install -q ./jiwer/jiwer-2.3.0-py3-none-any.whl -f ./ --no-index\npip install -q ./normalizer/bnunicodenormalizer-0.0.24.tar.gz -f ./ --no-index\npip install -q ./pyctcdecode/attrs-22.1.0-py2.py3-none-any.whl -f ./ --no-index --no-deps\npip install -q ./pyctcdecode/exceptiongroup-1.0.0rc9-py3-none-any.whl -f ./ --no-index --no-deps\npip install -q ./pyctcdecode/hypothesis-6.54.4-py3-none-any.whl -f ./ --no-index --no-deps\npip install -q ./pyctcdecode/numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl -f ./ --no-index --no-deps\npip install -q ./pyctcdecode/pygtrie-2.5.0.tar.gz -f ./ --no-index --no-deps\npip install -q ./pyctcdecode/sortedcontainers-2.4.0-py2.py3-none-any.whl -f ./ --no-index --no-deps\npip install -q ./pyctcdecode/pyctcdecode-0.4.0-py2.py3-none-any.whl -f ./ --no-index --no-deps\npip install -q ./pypikenlm/pypi-kenlm-0.1.20220713.tar.gz -f ./ --no-index --no-deps","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:44:23.974194Z","iopub.execute_input":"2023-07-18T14:44:23.975170Z","iopub.status.idle":"2023-07-18T14:46:03.772759Z","shell.execute_reply.started":"2023-07-18T14:44:23.975031Z","shell.execute_reply":"2023-07-18T14:46:03.770585Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 2. Necessary Imports","metadata":{}},{"cell_type":"code","source":"import os\nimport glob\nimport math\nimport warnings\n\nimport numpy as np\nimport pandas as pd\n\nfrom typing import List\nfrom IPython import display\nfrom tqdm.auto import tqdm\nfrom pathlib import Path\n\nfrom bnunicodenormalizer import Normalizer \nfrom transformers import pipeline, Wav2Vec2ProcessorWithLM\n\ntqdm.pandas()\nwarnings.filterwarnings(\"ignore\")","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:46:03.776316Z","iopub.execute_input":"2023-07-18T14:46:03.777286Z","iopub.status.idle":"2023-07-18T14:46:19.578116Z","shell.execute_reply.started":"2023-07-18T14:46:03.777226Z","shell.execute_reply":"2023-07-18T14:46:19.576886Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class CFG:\n    batch_size = 8\n    my_model_name = '/kaggle/input/yellowking-dlsprint-model/YellowKing_model'\n    processor_name = '/kaggle/input/yellowking-dlsprint-model/YellowKing_processor'\n    test_directory = '/kaggle/input/bengaliai-speech/test_mp3s'","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:46:19.579350Z","iopub.execute_input":"2023-07-18T14:46:19.580030Z","iopub.status.idle":"2023-07-18T14:46:19.586078Z","shell.execute_reply.started":"2023-07-18T14:46:19.579992Z","shell.execute_reply":"2023-07-18T14:46:19.584636Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 3. Wav2Vec2 Pipeline","metadata":{}},{"cell_type":"code","source":"processor = Wav2Vec2ProcessorWithLM.from_pretrained(CFG.processor_name)\n\nmy_asrLM = pipeline(\n    \"automatic-speech-recognition\",\n    model=CFG.my_model_name,\n    feature_extractor=processor.feature_extractor,\n    tokenizer=processor.tokenizer,\n    decoder=processor.decoder,\n    device=0,\n)","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:46:19.588635Z","iopub.execute_input":"2023-07-18T14:46:19.589375Z","iopub.status.idle":"2023-07-18T14:48:26.265945Z","shell.execute_reply.started":"2023-07-18T14:46:19.589336Z","shell.execute_reply":"2023-07-18T14:48:26.264441Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 4. Post-processing Utilities","metadata":{}},{"cell_type":"code","source":"bnorm = Normalizer()\n\ndef normalize(sentence: str) -> str:\n    \"\"\"Normalizes the input sentence\"\"\"\n    \n    _words = [bnorm(word)['normalized']  for word in sentence.split()]\n    return \" \".join([word for word in _words if word is not None])\n\n\ndef add_end_punctuation(sentence: str) -> str:\n    \"\"\"Adds end punctuation if missing\"\"\"\n\n    end_punctuations = {\"।\", \"?\", \"!\"}\n    \n    try:\n        if sentence[-1] not in end_punctuations:\n            sentence += \"।\"\n    except IndexError:\n        pass\n\n    return sentence","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:48:26.267949Z","iopub.execute_input":"2023-07-18T14:48:26.268387Z","iopub.status.idle":"2023-07-18T14:48:26.280385Z","shell.execute_reply.started":"2023-07-18T14:48:26.268319Z","shell.execute_reply":"2023-07-18T14:48:26.279168Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 5. Inference","metadata":{}},{"cell_type":"code","source":"def infer(audio_path: str) -> str:\n    \"\"\"Generate transcription from a single audio\"\"\"\n\n    my_LM_prediction = my_asrLM(\n        audio_path, chunk_length_s=112, stride_length_s=None\n    )\n\n    text = my_LM_prediction['text']\n    text = normalize(text)\n    text = add_end_punctuation(text)\n    \n    return text\n\n\ndef batch_infer(audio_paths: List[str]) -> List[str]:\n    \"\"\"Generate transcription from a batch of audio\"\"\"\n\n    my_LM_prediction = my_asrLM(\n        audio_paths, chunk_length_s=112, stride_length_s=None\n    )\n    \n    texts = []\n    for prediction in my_LM_prediction:\n        text = prediction['text']\n        text = normalize(text)\n        text = add_end_punctuation(text)\n        texts.append(text)\n        \n    return texts","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:48:42.477140Z","iopub.execute_input":"2023-07-18T14:48:42.477591Z","iopub.status.idle":"2023-07-18T14:48:42.488117Z","shell.execute_reply.started":"2023-07-18T14:48:42.477555Z","shell.execute_reply":"2023-07-18T14:48:42.486690Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def directory_infer(audio_dir: str) -> pd.DataFrame:\n    \"\"\"Generate submission dataframe\"\"\"\n    \n    audio_paths = glob.glob(os.path.join(audio_dir, \"*.mp3\"))\n    \n    ids = [Path(audio_path).stem for audio_path in audio_paths]\n    sentences = []\n    \n    num_batches = math.ceil(len(audio_paths) / CFG.batch_size)\n    batches = np.array_split(audio_paths, num_batches)\n    \n    for batch in tqdm(batches):\n        sentences.extend(batch_infer(list(batch)))\n        \n    df = pd.DataFrame({\"id\": ids, \"sentence\": sentences})\n                         \n    return df","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:48:48.249000Z","iopub.execute_input":"2023-07-18T14:48:48.249467Z","iopub.status.idle":"2023-07-18T14:48:48.258984Z","shell.execute_reply.started":"2023-07-18T14:48:48.249425Z","shell.execute_reply":"2023-07-18T14:48:48.257554Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission = directory_infer(CFG.test_directory)\nsubmission.to_csv(\"submission.csv\", index=False)\nsubmission.head()","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:48:53.020615Z","iopub.execute_input":"2023-07-18T14:48:53.021211Z","iopub.status.idle":"2023-07-18T14:49:04.065557Z","shell.execute_reply.started":"2023-07-18T14:48:53.021150Z","shell.execute_reply":"2023-07-18T14:49:04.064136Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 6. Examples","metadata":{}},{"cell_type":"code","source":"import random\n\ntrain = pd.read_csv(\"/kaggle/input/bengaliai-speech/train.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:49:08.746302Z","iopub.execute_input":"2023-07-18T14:49:08.747165Z","iopub.status.idle":"2023-07-18T14:49:14.756203Z","shell.execute_reply.started":"2023-07-18T14:49:08.747118Z","shell.execute_reply":"2023-07-18T14:49:14.754850Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"idx = random.randint(0, len(train) - 1)\n\nrow = train.iloc[idx]\naudio_path = \"/kaggle/input/bengaliai-speech/train_mp3s/\" + row.id + \".mp3\"\nground_truth = row.sentence\npredicted = infer(audio_path)\n\nprint(\"Ground Truth:\", ground_truth)\nprint(\"Predicted:\", predicted)\n\ndisplay.Audio(audio_path)","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:49:14.758414Z","iopub.execute_input":"2023-07-18T14:49:14.758839Z","iopub.status.idle":"2023-07-18T14:49:16.935166Z","shell.execute_reply.started":"2023-07-18T14:49:14.758803Z","shell.execute_reply":"2023-07-18T14:49:16.933748Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"idx = random.randint(0, len(train) - 1)\n\nrow = train.iloc[idx]\naudio_path = \"/kaggle/input/bengaliai-speech/train_mp3s/\" + row.id + \".mp3\"\nground_truth = row.sentence\npredicted = infer(audio_path)\n\nprint(\"Ground Truth:\", ground_truth)\nprint(\"Predicted:\", predicted)\n\ndisplay.Audio(audio_path)","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:49:18.851296Z","iopub.execute_input":"2023-07-18T14:49:18.851901Z","iopub.status.idle":"2023-07-18T14:49:22.540849Z","shell.execute_reply.started":"2023-07-18T14:49:18.851844Z","shell.execute_reply":"2023-07-18T14:49:22.539322Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"idx = random.randint(0, len(train) - 1)\n\nrow = train.iloc[idx]\naudio_path = \"/kaggle/input/bengaliai-speech/train_mp3s/\" + row.id + \".mp3\"\nground_truth = row.sentence\npredicted = infer(audio_path)\n\nprint(\"Ground Truth:\", ground_truth)\nprint(\"Predicted:\", predicted)\n\ndisplay.Audio(audio_path)","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:49:25.341185Z","iopub.execute_input":"2023-07-18T14:49:25.341770Z","iopub.status.idle":"2023-07-18T14:49:27.089218Z","shell.execute_reply.started":"2023-07-18T14:49:25.341719Z","shell.execute_reply":"2023-07-18T14:49:27.087844Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"idx = random.randint(0, len(train) - 1)\n\nrow = train.iloc[idx]\naudio_path = \"/kaggle/input/bengaliai-speech/train_mp3s/\" + row.id + \".mp3\"\nground_truth = row.sentence\npredicted = infer(audio_path)\n\nprint(\"Ground Truth:\", ground_truth)\nprint(\"Predicted:\", predicted)\n\ndisplay.Audio(audio_path)","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:49:30.345925Z","iopub.execute_input":"2023-07-18T14:49:30.346417Z","iopub.status.idle":"2023-07-18T14:49:33.383574Z","shell.execute_reply.started":"2023-07-18T14:49:30.346363Z","shell.execute_reply":"2023-07-18T14:49:33.382191Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"idx = random.randint(0, len(train) - 1)\n\nrow = train.iloc[idx]\naudio_path = \"/kaggle/input/bengaliai-speech/train_mp3s/\" + row.id + \".mp3\"\nground_truth = row.sentence\npredicted = infer(audio_path)\n\nprint(\"Ground Truth:\", ground_truth)\nprint(\"Predicted:\", predicted)\n\ndisplay.Audio(audio_path)","metadata":{"execution":{"iopub.status.busy":"2023-07-18T14:49:38.919175Z","iopub.execute_input":"2023-07-18T14:49:38.919701Z","iopub.status.idle":"2023-07-18T14:49:42.702459Z","shell.execute_reply.started":"2023-07-18T14:49:38.919636Z","shell.execute_reply":"2023-07-18T14:49:42.700999Z"},"trusted":true},"execution_count":null,"outputs":[]}]}