Topic: hubert Goto Github
Some thing interesting about hubert
Some thing interesting about hubert
hubert,In this code, we have used common and well-known datasets such as the Toronto dataset available on Kaggle to create a sentiment analysis model from human voice. This model is designed based on the Bert model and is called Hubert.
User: ahmadara
hubert,code for our paper DistilALHuBERT: A Distilled Parameter Sharing Audio Representation Model
User: backspacetg
hubert,[ICASSP 2023] Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-trained Representations
Organization: ecnu-cross-innovation-lab
Home Page: https://www.researchgate.net/publication/371101522
hubert,Repositorio creado para almacenar archivos, script y el informe final del curso de modelamiento estadístico del Diplomado en Big Data de la Pontificia Universidad Católica de Chile.
User: educarrascov
hubert,A library to help your context being persisted in your react native apps
User: hubertryanofficial
hubert,An implementation of Speech Emotion Recognition, based on HuBERT model, training with PyTorch and HuggingFace framework, and fine-tuning on the RAVDESS dataset.
User: letianlee
hubert,Phoneme segmentation using pre-trained speech models
User: lstrgar
hubert,Google collab for testing SoftVC VITS Singing Voice Conversion for AI capable of changing the singer within music files.
User: mahdeensky
hubert,This repo contains the source code of the first deep learning-base singing voice beat tracking system. It leverages WavLM and DistilHuBERT pre-trained speech models to create vocal embeddings and trains linear multi-head self-attention layers on top of them to extract vocal beat activations. Then, it uses HMM decoder to infer signing beats and tempo.
User: mjhydri
hubert,A website dedicated to the (fictional) original founder of Pornhub, Pornelius Hubert
User: moustachauve
Home Page: https://porneliushubert.com/
hubert,Cover Song Powered by SoftVC VITS
User: reshalfahsi
hubert,Advanced Speech Emotion Recognition, based on ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets and 14 languages (Emotions: Disgust, Neutral, Kind, Anger, Surprise, Joy)
User: rumeysakeskin
hubert,Self-Supervised Speech Pre-training and Representation Learning Toolkit
Organization: s3prl
Home Page: https://s3prl.github.io/s3prl/
hubert,Fake Voice Detection using Hubert
User: shinhyun-soo
hubert,The official implementation of the method discussed in the paper Improving Spoken Language Identification with Map-Mix(work accepted at ICASSP-2023)
Organization: skit-ai
hubert,Speech Keyword detection using Wav2Vec Model
User: terbouchehacene
hubert,The home of The Hubert™️
Organization: the-hubert
Home Page: https://thehubert.tk
hubert,A mini, simple, and fast end-to-end automatic speech recognition toolkit.
User: vectominist
hubert,so-vits-svc fork with realtime support, improved interface and more features.
Organization: voicepaw
hubert,unsupervised spoken utterances scoring
User: yaya-sy
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