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Everything about Speech processing
Study of speech signals and the processing methods of these signals
Speech processing is the study of speech signals and the processing methods of signals. The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signals. Aspects of speech processing includes the acquisition, manipulation, storage, transfer and output of speech signals. Different speech processing tasks include speech recognition, speech synthesis, speaker diarization, speech enhancement, speaker recognition, etc. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Speech processingA 5-minute orientation
- Skim a recent paper: WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech ProcessingInfluential work since 2022
- Pick up a classic book: Communications, Signal Processing, and SystemsThe most-reprinted book on the subject
- Read the landmark paper: The cortical organization of speech processingCited 4,831 times
- Go sideways: Yasuo MatsuyamaA closely related topic
- Go sideways: Types of artificial neural networksA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The cortical organization of speech processing
RASTA processing of speech
Distance measures for speech processing
Syntactic processing of connected speech
Continuous speech processing
MVA Processing of Speech Features
Audiovisual speech processing
Processing unattended speech
🆕 Influential since 2022
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
A review of deep learning techniques for speech processing
Survey of Deep Learning Paradigms for Speech Processing
Generative adversarial networks for speech processing: A review
Neural oscillations and speech processing at birth
📚 Books worth reading
Communications, Signal Processing, and SystemsQilian Liang · 2012
Dragon NaturallySpeaking for dummiesStephanie Diamond · 2011
Speech enhancementPhilipos C. Loizou · 2007
Digital SpeechA. M. Kondoz · 1994
Speech Synthesis and RecognitionWendy Holmes · 2001- 📕Audio-Visual Speech ProcessingEric Vatikiotis-Bateson, Pascal Perrier · 2006
Fundamentals of voice-quality engineering in wireless networksAvi Perry · 2006
Speech and audio signal processingBernard Gold, Ben Gold · 1999
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Yasuo Matsuyama Yasuo Matsuyama (born March 23, 1947) is a Japanese researcher in machine learning and human-aware information processing. Matsuyama is a Professor Emeritus…
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- Neural network (machine learning) In machine learning, a neural network (NN) or artificial neural network (ANN) is a computational model inspired by the structure and functions of biological…
- Hidden Markov model In probability theory, a hidden Markov model (HMM) is a Markov model in which the observations are dependent on a latent (or hidden) Markov process (referred…
- Linear predictive coding Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital…
- Spiking neural network Spiking neural networks (SNNs) are artificial neural networks (ANN) that mimic natural neural networks. These models leverage timing of discrete spikes…
- Speech recognition Speech recognition (automatic speech recognition (ASR), computer speech recognition, or speech-to-text (STT)) is a sub-field of computational linguistics…