MLOps Guru
Welcome. I am Krishna and I am a speech researcher. This channel contains tutorials of recent state of the art speech algorithms and research papers. If you want to learn python tips and tricks, this is the place for you.
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Learning to summarize from human feedback (RLHF)
Python Typing: Type Annotations in Python
Parsing and Validation using Pydantic
Python NamedTuple : Understand NamedTuple in detail
Python Enum : Understand Python Enum in detail
Python dataclasses: Understanding why we need dataclasses
Python dataclasses: Understanding dataclasses in detail
Python dataclasses: Understanding @dataclass keyword arguments
Python dataclasses : field options in dataclasses
Python dataclasses : Post-init processing ( __post__init__ ) in dataclasses
Masked Autoencoders that Listen
Ultra-Low-Bitrate Speech Coding with Pretrained Transformers
Deploy Wav2Vec2.0 based Speech Recognition Service in Kubernetes
Simple and Effective Unsupervised Speech Synthesis
PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS
Universal Paralinguistic Speech Representations using Self-Supervised Conformers
Geoff Hinton Saying Deep Neural Network in 8 different languages...
Geoff Hinton Speaking in Hindi....[MADE USING AI]
Obama speaking in Geoffrey Hinton's voice [ MADE USING AI ]
Obama speaking in Geoff Hinton's Voice...[ MADE USING AI ]
OBAMA SPEAKING IN LADY VOICE......
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
Simple and Effective Zero-Shot Cross-Lingual Phoneme Recognition
Token-Level Supervised Contrastive Learning for Punctuation Restoration
SUPERB: Speech processing Universal PERformance Benchmark
Speech Emotion Recognition with Multi-task Learning
A Light-weight contextual spelling correction model for customising transducer-based ASR systems
Injecting Text in Self-Supervised Speech Pre-Training (TTS4PreTrain)
W2V-BERT:Combining Contrastive Learning and Masked Language Modelling for Self-Supervised Speech