͑iySSKJr SSKJrJr \(a SSKJr SSKJr "SS5r S Sjr S S Sjjr SSS jjr g )) annotations) TYPE_CHECKINGBinaryIO)Path)Tensorcn\rSrSr%SrS\S'S\S'S\S'S\S'S\S 'S S jrS rg ) AudioInfoz0Audio info, return type of backend info functionint sample_rate num_samples num_channelsbits_per_samplestrencodingc@XlX lX0lX@lXPlg)N)r r rrr)selfr r rrrs ]/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/audio/backends/backend.py__init__AudioInfo.__init__"s!'&(. )rrrr r N) r r r r rr rr rrreturnNone)__name__ __module__ __qualname____firstlineno____doc____annotations__r__static_attributes__rrr r sa:M ! ! ! !  !  !  !rr c[S5e)aGet signal information of input audio file. Args: filepath: audio path or file object. Returns: AudioInfo: info of the given audio. Example: .. code-block:: python >>> 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_info = paddle.audio.info(filepath) please set audio backendNotImplementedError)filepaths rinfor'1s8 8 99rc[S5e)aCLoad audio data from file.Load the audio content start form frame_offset, and get num_frames. Args: 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) Return: Tuple[paddle.Tensor, int]: (audio_content, sample rate) Examples: .. code-block:: python >>> 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) r#r$)r& frame_offset num_frames normalizechannels_firsts rloadr-PsR 8 99rNc[S5e)a Save audio tensor to file. Args: filepath: saved path src: the audio tensor sample_rate: the number of samples of audio per second. channels_first: src channel information if True, means input tensor is (channels, time) if False, means input tensor is (time, channels) encoding:encoding format, wave_backend only support PCM16 now. bits_per_sample: bits per sample, wave_backend only support 16 bits now. Returns: None Examples: .. code-block:: python >>> import paddle >>> sample_rate = 16000 >>> wav_duration = 0.5 >>> num_channels = 1 >>> num_frames = sample_rate * wav_duration >>> wav_data = paddle.linspace(-1.0, 1.0, int(num_frames)) * 0.1 >>> waveform = wav_data.tile([num_channels, 1]) >>> filepath = "./test.wav" >>> paddle.audio.save(filepath, waveform, sample_rate) r#r$)r&srcr r,rrs rsaver0|sP 8 99r)r&zstr | BinaryIOrr )rTT) r&z str | Pathr)r r*r r+boolr,r2rztuple[Tensor, int])TN)r&rr/rr r r,r2rz str | Nonerz int | Nonerr) __future__rtypingrrpathlibrpaddlerr r'r-r0r!rrr8s#*!!0:B ):):):): ):  ):  ):` "$ (:(: (:(: (:  (:  (: (:r