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paddle.audio. load ( filepath: str | Path, frame_offset: int = 0, num_frames: int = -1, normalize: bool = True, channels_first: bool = True ) → tuple[Tensor, int] [source]
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Load audio data from file. load the audio content start form frame_offset, and get num_frames.

Parameters

  • frame_offset – from 0 to total frames,

  • num_frames – from -1 (means total frames) or number frames which want to read,

  • normalize – if True: return audio which norm to (-1, 1), dtype=float32 if False: return audio with raw data, dtype=int16

  • channels_first – if True: return audio with shape (channels, time)

Returns

(audio_content, sample rate)

Return type

Tuple[paddle.Tensor, int]

Examples

>>> import os
>>> import paddle

>>> sample_rate = 16000
>>> wav_duration = 0.5
>>> num_channels = 1
>>> num_frames = sample_rate * wav_duration
>>> wav_data = paddle.linspace(-1.0, 1.0, int(num_frames)) * 0.1
>>> waveform = wav_data.tile([num_channels, 1])
>>> base_dir = os.getcwd()
>>> filepath = os.path.join(base_dir, "test.wav")

>>> paddle.audio.save(filepath, waveform, sample_rate)
>>> wav_data_read, sr = paddle.audio.load(filepath)