ASRT_SpeechRecognition

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ASRT_SpeechRecognition is an open-source deep-learning-based Chinese speech recognition system. It provides a robust framework for converting Chinese speech to text, supporting both training and inference.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is ASRT_SpeechRecognition?

ASRT_SpeechRecognition is a comprehensive, open-source Chinese speech recognition system built on deep learning principles, utilizing TensorFlow.keras. It integrates deep convolutional neural networks, long short-term memory networks, attention mechanisms, and CTC for high accuracy. The system supports both training custom models and performing inference, with pre-trained models available for immediate use. It offers API servers for HTTP and gRPC protocols, enabling flexible integration into various applications. Developers can leverage its SDKs for different platforms and programming languages, including Windows, Python3, Golang, and Java, or use its RESTful Open API. ASRT is designed for technical users and developers looking to implement robust Chinese speech-to-text functionalities.

Best used for

Ideal for developers and data scientists who need to integrate robust Chinese speech recognition into their applications, train custom speech-to-text models, and deploy API servers for real-time transcription. Especially valuable for projects requiring open-source flexibility and deep learning capabilities.

Common actions

transcribe Chinese speech

build speech recognition

train AI models

face swapping"AI Agents"github copilotdeepfakeautomated workflowworkflowscollaborationopen-sourcelow-code/no-code

Capabilities

Key features

Chinese speech recognition
Deep learning architecture
TensorFlow.keras based
HTTP/gRPC API servers
Multi-platform SDKs
Custom model training

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the minimum hardware requirements for training ASRT_SpeechRecognition models?

To train ASRT models, you need a CPU with at least 4 cores (x86_64, amd64), 16 GB RAM, an NVIDIA GPU with 11GB+ graph memory (1080ti or better), and a 500 GB hard drive. These specifications ensure efficient processing for deep learning tasks.

Which operating systems and software versions are supported for ASRT_SpeechRecognition?

ASRT supports Linux (Ubuntu 20.04+, CentOS 7+) for both training and inference, and Windows 10/11 for inference only. It requires Python 3.9-3.11+ and TensorFlow 2.5-2.11+. Specific CUDA and cuDNN versions are also recommended for GPU acceleration.

How can I deploy ASRT_SpeechRecognition using Docker?

You can deploy ASRT using Docker by pulling the pre-built image 'ailemondocker/asrt_service:1.3.0'. After pulling, you can run the container, mapping ports 20001 and 20002 to expose the HTTP and gRPC API services, respectively. This simplifies setup and deployment.

Does ASRT_SpeechRecognition support multiple Chinese speech datasets?

Yes, ASRT is configured to support several popular Chinese speech datasets by default, including Thchs30, ST-CMDS, Primewords, AIShell-1, aidatatang200, and MagicData. Users can also add other datasets by organizing them into ASRT's standard data format.

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