Pre-release
This release is a pre-release and may not be stable for production use.
Speech Feature Kit
A Python wrapper for convenient speech feature extraction
Installation
pip install speech-features-kit
Functions
- MFCC feature analysis
- Volume analysis
- Emotion analysis
Example of emotion analysis
from speech_features_kit.Emotion.speech_toolkit import SpeechEmotionToolkit
# set the path of pre-trained model for speech emotion model
# the used model here is optimized for Chinese speech; however, it is possible you can train your own model.
speech_kit = SpeechEmotionToolkit()
# load the model
speech_kit.load()
# obtain emotion list with timestamp given an audio file
list_emo, list_timestamp = speech_kit.get_emotion_list_by_blocks(audio_file="../data/english.wav",
num_sec_each_file=1)
# print the list of emotion over timestamp
print("Time interval\tEmotion")
for idx, e in enumerate(list_emo):
print(list_timestamp[idx], "\t", e)
Note
Other functions please see the examples folder!
1 maintainer
Metadata
1 maintainer
Release files for speech-features-kit 1.0.0.dev6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| speech-features-kit-1.0.0.dev6.tar.gz | 4.3 MB | Details |
Release files / speech-features-kit-1.0.0.dev6.tar.gz
| Download URL | speech-features-kit-1.0.0.dev6.tar.gz |
|---|---|
| Size | 4.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ec796ccf8eb5ab5238699ffa39b97a1852cb86c2e841046090ecc609162f413d
|
|
BLAKE2b-256 checksum How to use checksums |
9b093ce2ea4eea4eda7a95bd359b804b0198f6452ad304ac3c705ff31efb5be9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.6
|
