## Python: write a wav file into numpy float array

numpy array to wav file

python write wav file

write numpy array as wav file

python wav file analysis

convert byte array to wav file python

scipy io read python

change sample rate of wav file python

ifile = wave.open("input.wav")

how can I write this file into a numpy float array now?

>>> from scipy.io.wavfile import read >>> a = read("adios.wav") >>> numpy.array(a[1],dtype=float) array([ 128., 128., 128., ..., 128., 128., 128.])

typically it would be bytes which are then ints... here we just convert it to float type

you can read about read here https://docs.scipy.org/doc/scipy/reference/tutorial/io.html#module-scipy.io.wavfile

**scipy.io.wavfile.write — SciPy v1.5.2 Reference Guide,** Write a NumPy array as a WAV file. A 1-D or 2-D NumPy array of either integer or float data-type. Notes. Writes a simple uncompressed WAV file. To write� scipy.io.wavfile.write¶ scipy.io.wavfile.write (filename, rate, data) [source] ¶ Write a NumPy array as a WAV file. Parameters filename string or open file handle. Output wav file. rate int. The sample rate (in samples/sec). data ndarray. A 1-D or 2-D NumPy array of either integer or float data-type. Notes. Writes a simple uncompressed WAV file.

Seven years after the question was asked...

import wave import numpy # Read file to get buffer ifile = wave.open("input.wav") samples = ifile.getnframes() audio = ifile.readframes(samples) # Convert buffer to float32 using NumPy audio_as_np_int16 = numpy.frombuffer(audio, dtype=numpy.int16) audio_as_np_float32 = audio_as_np_int16.astype(numpy.float32) # Normalise float32 array so that values are between -1.0 and +1.0 max_int16 = 2**15 audio_normalised = audio_as_np_float32 / max_int16

**Converting a .wav into numpy array � Issue #93 � spatialaudio/python ,** How would one simply convert a .wav into a NumPy Array? module cannot ( and will never) handle reading and writing of sound files. Python Read Binary File Into Numpy Array. Python Read Binary File Into Numpy Array

Use `librosa`

package and simply load wav file to numpy array with:

y, sr = librosa.load(filename)

loads and decodes the audio as a time series y, represented as a one-dimensional NumPy floating point array. The variable sr contains the sampling rate of y, that is, the number of samples per second of audio. By default, all audio is mixed to mono and resampled to 22050 Hz at load time. This behavior can be overridden by supplying additional arguments to librosa.load().

More information at Librosa library documentation

**Python Audio,** load is able to read mp3-files when ffmpeg is available. librosa.output.write_wav always uses the data type of the numpy array (e.g. 64-bit float). Note that some� This code allows to read a MP3 to a numpy array / write a numpy array to a MP3 file with a similar API than scipy.io.wavfile.read/write: import pydub import numpy as np def read(f, normalized=False): """MP3 to numpy array""" a = pydub.AudioSegment.from_mp3(f) y = np.array(a.get_array_of_samples()) if a.channels == 2: y = y.reshape((-1, 2)) if normalized: return a.frame_rate, np.float32(y) / 2**15 else: return a.frame_rate, y def write(f, sr, x, normalized=False): """numpy array to MP3

**wavio � PyPI,** A Python module for reading and writing WAV files using numpy arrays. (When floating point data is passed to wavio.write it is converted to integers before� Trouble copying and reversing parts of array with numpy. Tag: python,numpy. could not broadcast input array from shape (0,0) into Parse text from a .txt file

**Making music,** Create a function array_add_noise that replace entries in a numpy array L using the helper You are given the numpy array: In [ ]: L = np.array([4,2,5,6,9],dtype= float) You can use numpy.hstack to combine notes to make music. scipy.io. wavfile.read: return the sample rate (in samples/sec) and data from a WAV file� Note that the array must be integers, so if you have floats, you might want to scale them appropriately: import numpy as np from scipy.io.wavfile import write data = np.random.uniform(-1,1,44100) # 44100 random samples between -1 and 1 scaled = np.int16(data/np.max(np.abs(data)) * 32767) write('test.wav', 44100, scaled)

**Convert 3-byte stereo WAV-file to numpy array,** Output wav file. rate : int. The sample rate (in samples/sec). data : ndarray. A 1-D or 2-D numpy array of either integer or float Find out Python write to file on� wave.open (file, mode=None) ¶ If file is a string, open the file by that name, otherwise treat it as a file-like object. mode can be: 'rb' Read only mode. 'wb' Write only mode. Note that it does not allow read/write WAV files. A mode of 'rb' returns a Wave_read object, while a mode of 'wb' returns a Wave_write object.

##### Comments

- @JoranBeasley it has to be float.
- thanks! one more question, how could I do this for all .wav-files in the current working directory? I mean saving each file in a cycle in an array, and concentrating it by the end of each step to a main array?
- How should I install the
`wave`

module?`pip install wave`

? - @Unsigned_Arduino Have you just tried it? According to the docs, the wave module has been part of Python since at least version 2.7, and it's still included in version 3.8: docs.python.org/3.8/library/wave.html
- Just tried it, it's included. I never seen this module before so I questioned it's existance in the PSL.
- Edited code so that it also works with Python 2.7.