DeepSpeech

DeepSpeech este un framework open-source de tip speech-to-text și un motor de învățare automată conceput pentru a converti audio vorbit în text scris local pe un dispozitiv. Oferă recunoaștere vocală pe dispozitiv care funcționează fără a necesita o conexiune la internet către servere externe.

Sistemul acceptă transcrierea vorbirii în timp real pe o varietate de platforme hardware, variind de la computere cu placă unică și dispozitive edge până la servere GPU. Acest lucru permite analiza și procesarea audio direct pe hardware-ul local.

Features

Local Speech-to-Text - Provides a machine learning engine for the on-device conversion of spoken audio into text without internet access.
Real-Time Transcription - Provides instantaneous conversion of live audio streams into text transcripts across various hardware platforms.
On-Device Inference Engines - Ships a runtime optimized for executing speech recognition models locally on edge hardware to ensure privacy and low latency.
Speech Recognition - Implements tools and models for converting spoken language into text locally on a device.
Speech-to-Text Engines - Implements a high-performance engine for converting spoken audio into written text using local machine learning models.
Speech-to-Text Modeling Toolkits - Provides a toolkit for training and deploying models that convert audio signals into written text.
Speech-to-Text Frameworks - Offers an open-source framework for building and deploying embedded voice recognition models on diverse hardware.
Embedded Voice Processing - Enables the integration of speech-to-text capabilities directly into edge devices like Raspberry Pi.
Natural Language Processing - TensorFlow implementation of DeepSpeech architecture.
Speech and Audio Models - Open-source speech-to-text engine for mobile and edge.
Speech Processing - Pretrained automatic speech recognition engine.
Acoustic User Interface - Open-source speech-to-text engine using machine learning.
Interfețe utilizator acustice - Motor open-source de tip speech-to-text bazat pe deep learning.
Audio Processing - Embedded speech-to-text engine using deep learning.

Istoric stele

Graficul istoricului de stele pentru mozilla/deepspeech

mozillaDeepSpeechArchived

Name: mozilla/deepspeech
Author: mozilla

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26,748 stele4,086 fork-uriC++MPL-2.07 vizualizări

DeepSpeech

Features

Local Speech-to-Text - Provides a machine learning engine for the on-device conversion of spoken audio into text without internet access.
Real-Time Transcription - Provides instantaneous conversion of live audio streams into text transcripts across various hardware platforms.
On-Device Inference Engines - Ships a runtime optimized for executing speech recognition models locally on edge hardware to ensure privacy and low latency.
Speech Recognition - Implements tools and models for converting spoken language into text locally on a device.
Speech-to-Text Engines - Implements a high-performance engine for converting spoken audio into written text using local machine learning models.
Speech-to-Text Modeling Toolkits - Provides a toolkit for training and deploying models that convert audio signals into written text.
Speech-to-Text Frameworks - Offers an open-source framework for building and deploying embedded voice recognition models on diverse hardware.
Embedded Voice Processing - Enables the integration of speech-to-text capabilities directly into edge devices like Raspberry Pi.
Natural Language Processing - TensorFlow implementation of DeepSpeech architecture.
Speech and Audio Models - Open-source speech-to-text engine for mobile and edge.
Speech Processing - Pretrained automatic speech recognition engine.
Acoustic User Interface - Open-source speech-to-text engine using machine learning.
Interfețe utilizator acustice - Motor open-source de tip speech-to-text bazat pe deep learning.
Audio Processing - Embedded speech-to-text engine using deep learning.

Alternative open-source pentru DeepSpeech

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Vezi toate cele 30 alternative pentru DeepSpeech

Întrebări frecvente

Ce face mozilla/deepspeech?

Care sunt principalele funcționalități ale mozilla/deepspeech?

Principalele funcționalități ale mozilla/deepspeech sunt: Local Speech-to-Text, Real-Time Transcription, On-Device Inference Engines, Speech Recognition, Speech-to-Text Engines, Speech-to-Text Modeling Toolkits, Speech-to-Text Frameworks, Embedded Voice Processing.

Care sunt câteva alternative open-source pentru mozilla/deepspeech?

Alternativele open-source pentru mozilla/deepspeech includ: alphacep/vosk-api — Vosk is an offline speech-to-text engine and API that converts spoken audio into text locally on a device. It provides… k2-fsa/sherpa-onnx — Sherpa-ONNX is an ONNX-based speech processing toolkit that provides a local speech recognition engine, an on-device… pipecat-ai/pipecat — Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech… facebookresearch/wav2letter — wav2letter is an automatic speech recognition toolkit and deep learning framework designed to convert audio speech… sevask/ecoute — Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and… koljab/realtimestt — RealtimeSTT is a local speech-to-text engine and real-time automatic speech recognition server. It utilizes…