Speech Note works with spoken and written material using local speech recognition, speech synthesis and machine translation.
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Tag: speech recognition
aTrain – automatically transcribe recorded speech
aTrain is a graphical application to transcribe recorded speech while keeping source audio and resulting text on the user’s own computer.
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faster-whisper – reimplementation of OpenAI’s Whisper
faster-whisper is a reimplementation of OpenAI’s Whisper automatic speech recognition model built around CTranslate2
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PocketSphinx – speaker-independent continuous speech recognition engine
PocketSphinx is a compact, speaker-independent continuous speech recognition engine originating from CMU Sphinx.
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whisper.cpp – implementation of OpenAI’s Whisper automatic speech recognition model
whisper.cpp is a high-performance C/C++ implementation of OpenAI’s Whisper automatic speech recognition model.
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Handy – offline speech-to-text application
Handy is a cross-platform desktop speech-to-text application that lets you dictate directly into any text field using configurable keyboard shortcuts.
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ostt – Open Speech-to-Text
ostt is an interactive terminal-based audio recording and speech-to-text transcription tool
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Whispering – speech recognition tool
Press shortcut → speak → get text. Desktop transcription that cuts out the middleman.
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sherpa-onnx is speech-to-text and text-to-speech software
sherpa-onnx is software for Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime
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Simon – frontend for simon speech recognition solution
Simon is open source speech recognition software which aims to be flexible and highly customizable.
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Eesen – End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
Eesen is to simplify the existing complicated, expertise-intensive ASR pipeline into a straightforward sequence learning problem.
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CMUSphinx – Open Source Speech Recognition System for Mobile and Server Applications
CMUSphinx (Sphinx) is a collective term to describe a group of speech recognition systems developed at Carnegie Mellon University.
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Julius – large vocabulary continuous speech recognition decoder software
Julius is a high-performance, two-pass large vocabulary continuous speech recognition (LVCSR) engine. It supports N-gram based dictation.
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OpenSeq2Seq – TensorFlow-based toolkit for sequence-to-sequence models
OpenSeq2Seq is a toolkit for distributed and mixed precision training of sequence-to-sequence models.
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DeepSpeech – TensorFlow implementation of Baidu’s DeepSpeech architecture
DeepSpeech is an open source Speech-To-Text engine, using a model trained by machine learning techniques.
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deepspeech.pytorch – Implementation of DeepSpeech2 using Baidu Warp-CTC
deepspeech.pytorch is an implementation of DeepSpeech2 using Baidu Warp-CTC. It creates a network based on the DeepSpeech2 architecture.
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ESPnet – end-to-end speech processing toolkit
ESPnet is an end-to-end speech processing toolkit, mainly focuses on end-to-end speech recognition and end-to-end text-to-speech.
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Kaldi Speech Recognition Toolkit – Designed for Speech Recognition Researchers
Kaldi is a state-of-the-art speech recognition toolkit written in C++. It’s intended to be used mainly for acoustic modelling research.
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SpeechBrain – conversational AI toolkit
SpeechBrain is an all-in-one conversational AI toolkit based on PyTorch. This is free and open source software written in Python.
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Flashlight – C++ standalone library for machine learning
Flashlight is a fast, flexible machine learning library written entirely in C++. It provides apps for research across multiple domains.
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