Source code for flash.audio.speech_recognition.output_transform
# Copyright The PyTorch Lightning team.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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from typing import Any
import torch
from flash.core.data.io.output_transform import OutputTransform
from flash.core.utilities.imports import _TOPIC_AUDIO_AVAILABLE, requires
if _TOPIC_AUDIO_AVAILABLE:
from transformers import Wav2Vec2CTCTokenizer
[docs]class SpeechRecognitionOutputTransform(OutputTransform):
def __init__(self, backbone: str):
super().__init__()
self.backbone = backbone
self._tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(self.backbone)
@requires("audio")
def per_batch_transform(self, batch: Any) -> Any:
# converts logits into greedy transcription
pred_ids = torch.argmax(batch, dim=-1)
return self._tokenizer.batch_decode(pred_ids)
def __getstate__(self): # TODO: Find out why this is being pickled
state = self.__dict__.copy()
state.pop("_tokenizer", None)
return state
def __setstate__(self, state):
self.__dict__.update(state)
if self.backbone is not None:
self._tokenizer = Wav2Vec2CTCTokenizer.from_pretrained(self.backbone)