Wave Chunk Parser
Parses wave files chunks in order to extract metadata and audio. Also provides an option to write a bunch of given chunks back into a coherent file.
Installation
pip install wave-chunk-parser
Reading a file / IO stream
from wave_chunk_parser.chunks import RiffChunk
with open("file.wav", "rb") as file:
riff_chunk = RiffChunk.from_file(file)
From there you can access the sub chunks from riff_chunk.sub_chunks. The data chunk uses a numpy array to hold the vectors of audio samples.
Format (fmt) and data chunks are critical. Cart chunk is optional but provides those markers we need for handling broadcast audio.
Writing a file / IO stream
You will need to build the chunks individually and supply them in a list of:
chunks = [FormatChunk, DataChunk, CartChunk]
The format chunk must come before the data chunk (we need to know how to en/decode it). Cart chunk can appear anywhere in the list or even not exist at all.
To get a blob for writing to disk (or wherever), simply:
riff_chunk = RiffChunk(chunks)
blob = riff_chunk.to_bytes()
The to_bytes function exists on every chunk type. So, if you particularly desire, you can turn a standalone format chunk into a blob.
Numpy on macOS
We need openblas to make Numpy work on macOS:
pip uninstall numpy
brew install openblas
OPENBLAS="$(brew --prefix openblas)" pip install numpy --no-cache-dir
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file wave-chunk-parser-1.1.1.tar.gz.
File metadata
- Download URL: wave-chunk-parser-1.1.1.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8b71af90176b67a568cd11bc509e658532a9dfcba123bbe2db9d926bd58f5704
|
|
| MD5 |
162d15a0e09a61fcaf9a393f03c3993a
|
|
| BLAKE2b-256 |
719df18dec1e734549c8e529e73b8dcfdfe18304ea1608e8b42f7ad4bd220b48
|
File details
Details for the file wave_chunk_parser-1.1.1-py3-none-any.whl.
File metadata
- Download URL: wave_chunk_parser-1.1.1-py3-none-any.whl
- Upload date:
- Size: 28.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/4.0.0 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8d238ce2bcaaf6d681c6ee85c7e4218db2c995bff5a8eda11e7555f10e67e67b
|
|
| MD5 |
0d6941400d2993c0d91d58c26b45b5d1
|
|
| BLAKE2b-256 |
8d011157ffc6d07dfbf567955b90aab89a4cb93fdfb6b23e3b2acee2cf7a3bc5
|
