hyyoka / Acoustic-Features
audio/speech feature extraction using parselmouth, librosa, disvoice
☆9Updated 3 years ago
Alternatives and similar repositories for Acoustic-Features:
Users that are interested in Acoustic-Features are comparing it to the libraries listed below
- An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning …☆33Updated 2 years ago
- Tools to process the UltraSuite data☆11Updated 5 years ago
- multilingual speech aligner☆73Updated last year
- ☆40Updated 3 years ago
- A mini, simple, and fast end-to-end automatic speech recognition toolkit.☆50Updated 2 years ago
- A Kaldi recipe for training automatic speech recognition systems on the Torgo corpus of dysarthric speech☆17Updated last year
- Multi-Task Speech classification of accent and gender of an english speaker on Mozilla's common voice dataset☆26Updated 7 months ago
- These are Jupyter Notebooks to help guide people to learn how to use Praat-Parselmouth☆39Updated 3 years ago
- ☆64Updated 6 months ago
- Simple, straight-forward extraction of acoustic and prosodic features from sound waves based on Praat and Parselmouth.☆22Updated 5 years ago
- Syllable Segmentation and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Model☆32Updated last year
- (Hybrid) BYOL-S feature extractor using serab-byols package in pytorch.☆27Updated 11 months ago
- Machine learning speaker characteristics☆33Updated last week
- Workflow for forced alignment between languages☆18Updated last year
- Phoneme segmentation using pre-trained speech models☆55Updated 2 years ago
- INTERSPEECH 23 - Refunction Whisper to recognize new tasks with adapters!☆37Updated last year
- ☆49Updated 3 years ago
- Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling (Accepted by AAAI'2024)☆54Updated 9 months ago
- LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models☆25Updated 7 months ago
- These are praat scripts I use in my research, implemented in parselmouth for python for use in binder☆129Updated 3 years ago
- A Compact and Effective Pretrained Model for Speech Emotion Recognition☆36Updated 9 months ago
- SERAB: a multi-lingual benchmark for speech emotion recognition☆28Updated 2 years ago
- Official implementation of the paper "Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Unce…☆21Updated 3 weeks ago
- Source code and demo for INTERPSEECH 2023 paper: DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion P…☆36Updated last year
- The purpose of this code base is to add a specified signal-to-noise ratio noise from MUSAN dataset to a pure speech signal and to generat…☆29Updated 3 years ago
- [Interspeech22]Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Ass…☆27Updated last year
- Making Espnet easier to use☆54Updated 3 years ago
- ☆22Updated 9 months ago
- FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis (Accepted by ISCSLP'2024)☆23Updated last year
- Keras-based python framework to compute phonological posterior probabilities from audio files☆41Updated 2 years ago