gmendes9 / multilingual_va_prediction
Repository for Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers
☆24Updated last year
Related projects ⓘ
Alternatives and complementary repositories for multilingual_va_prediction
- ☆45Updated 3 years ago
- ☆59Updated 2 months ago
- These are Jupyter Notebooks to help guide people to learn how to use Praat-Parselmouth☆37Updated 3 years ago
- ☆33Updated 3 years ago
- ☆14Updated last year
- Disfluency Detection using Auto-Correlational Neural Networks☆40Updated 3 years ago
- These are praat scripts I use in my research, implemented in parselmouth for python for use in binder☆124Updated 3 years ago
- ☆10Updated 11 months ago
- Multimodal Transformer for Korean Sentiment Analysis with Audio and Text Features☆28Updated 3 years ago
- Dimensional Emotion Detection from Categorical Emotion Annotation☆45Updated 3 years ago
- ☆21Updated 6 months ago
- A wrapper for Audeering's wav2vec-based dimensional speech emotion recognition☆16Updated last year
- 😎 Awesome lists about Speech Emotion Recognition☆66Updated 3 weeks ago
- PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models (…☆47Updated 4 months ago
- A mini, simple, and fast end-to-end automatic speech recognition toolkit.☆47Updated last year
- Audio feature extraction and baseline search implementation for the Spotify Podcast Dataset.☆11Updated 3 years ago
- 56 language, 1 model Multilingual ASR☆24Updated 3 years ago
- A short tutorial on Keras for the co-utilization of audio and text data (multi-modal analysis)☆17Updated 2 years ago
- Official release of StyleTalk dataset.☆57Updated 4 months ago
- audio/speech feature extraction using parselmouth, librosa, disvoice☆9Updated 2 years ago
- 《SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks》Speech processing with prompting paradigm☆81Updated last year
- Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition☆144Updated 3 years ago
- Code for T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5☆18Updated last year
- Code associated with the paper: Neural Representations for Modeling Variation in Speech.☆16Updated 2 years ago
- Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clusterin…☆44Updated last year
- Phoneme segmentation using pre-trained speech models☆54Updated 2 years ago
- Official implementation of INTERSPEECH 2021 paper 'Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings'☆126Updated 2 years ago
- Word Discovery in Visually Grounded, Self-Supervised Speech Models☆25Updated 11 months ago
- asr2k☆48Updated 5 months ago
- Keyword spotting and forced alignment in any language☆39Updated 4 months ago