Research on speech processing, speaker identification and audio diarization
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Updated
Jul 13, 2022 - Jupyter Notebook
Research on speech processing, speaker identification and audio diarization
Speech transcription and speech diarization
Chat-Bot made using whisper live, speechbrain and open AI API
A Speech Recognition Framework for Banking Interactions using Convolutional Recurrent Dense Neural Networks and Language 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.
Dockerized Zeroc-ICE architecture processing voice commands from a Xamarin mobile application via an Automatic Speech Recognition (ASR) AI model using SpeechBrain.
Processing EEG data using Speechbrain-MOABB and model tuning to get best results
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
Record voice, transcribe a prompt, picturize the prompt, create variations, get description of a celebrity and upload, other use cases on KB
AudioSpeakerVerification: FastAPI-based API for Speaker Matching and Verification using SpeechBrain. Compare and verify speaker identities from audio files.
pretrained SpeechBrain wav2vec seq2seq+CTC model trained on TIMIT dataset. Created by Kip McCharen, Siddharth Surapaneni, and Pavan Bondalapati
Implementation of different curriculum learning (CL) methods for speechbrain's ASR recipes.
Incremental learning for automatic speech recognition (ASR)
[Research] A Perceptual Loss Based Complex Neural Beamforming for AmbiX 3D Speech Enhancement
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)
Extensions to YAML syntax for better python interaction
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