Extensions to YAML syntax for better python interaction
-
Updated
Dec 13, 2023 - Python
Extensions to YAML syntax for better python interaction
Real-time speaker diarization using straightforward, intuitive logic - High accuracy thanks to SpeechBrain/Pyannote-WeSpeaker models
StutterFormer is an AI model that aims to be able to receive a speech sample with stuttering disfluencies, and return it with the disfluencies attenuated or eliminated.
Backend of anti-fraud system based on speaker identification technology. 基于声纹识别的反诈系统后端
Target speaker automatic speech recognition (TS-ASR)
Incremental learning for automatic speech recognition (ASR)
Record voice, transcribe a prompt, picturize the prompt, create variations, get description of a celebrity and upload, other use cases on KB
A Streamlit web app for speaker diarization and identification in audio files. Upload or record audio, transcribe conversations, and automatically segment and label speakers using reference samples. This app makes it easy to analyze multi-speaker audio, export transcripts, and identify "who spoke when" for meetings, interviews, and more.
Implementation of different curriculum learning (CL) methods for speechbrain's ASR recipes.
Processing EEG data using Speechbrain-MOABB and model tuning to get best results
pretrained SpeechBrain wav2vec seq2seq+CTC model trained on TIMIT dataset. Created by Kip McCharen, Siddharth Surapaneni, and Pavan Bondalapati
[Research] A Perceptual Loss Based Complex Neural Beamforming for AmbiX 3D Speech Enhancement
A Speech Recognition Framework for Banking Interactions using Convolutional Recurrent Dense Neural Networks and Language Models
Speaker verification of virtual assistants using ECAPA-TDNN model from SpeechBrain toolkit and transfer learning approach emphasizing on inter and intra comparision (text independent and dependent).
Speech Emotion Recognition SE&R 2022
Speech transcription and speech diarization
HACKPUE 2025 - HORIZON'S H.E.R.A
AudioSpeakerVerification: FastAPI-based API for Speaker Matching and Verification using SpeechBrain. Compare and verify speaker identities from audio files.
A short test to determine the distribution of similarity scores for different SpeechBrain speaker identification models.
Add a description, image, and links to the speechbrain topic page so that developers can more easily learn about it.
To associate your repository with the speechbrain topic, visit your repo's landing page and select "manage topics."