语音识别课程
语音识别课程可以帮助您学习音频处理、语言模型和转录技术的基础知识。您可以掌握语音识别的 Feature Extraction、声学建模和实现神经网络的技能。许多课程介绍了 Python 库、TensorFlow 和 Kaldi 等工具，这些工具支持开发语音识别系统，并应用 AI 增强虚拟助手和自动转录服务等应用中的用户交互。
热门语音识别课程和认证
您将获得的技能: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
University of California San Diego
您将获得的技能: 原型设计, 物联网, 外围设备, 数字信号处理, 嵌入式软件, 嵌入式系统, 通信系统, 无线网络
Coursera
您将获得的技能: 及时工程, 拥抱的脸, Prompt Engineering, 负责任的人工智能, 模型部署, 持续监测, 应用程序开发, 生成式人工智能, 法学硕士申请, 数据伦理, 应用安全, 应用程序部署, 人工智能安全
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Data Management, Data Governance, Google Cloud Platform, Model Evaluation, Data Pipelines, Data Preprocessing, Applied Machine Learning, Tensorflow, Machine Learning, Feature Engineering
您将获得的技能: Prompt Engineering, OpenAI API, ChatGPT, Application Programming Interface (API), API Design, Authentications, Large Language Modeling, Key Management, JSON, Model Evaluation, Performance Tuning
University of California, Irvine
您将获得的技能: 口语理解, 语言学习, 语法, 英语
DeepLearning.AI
您将获得的技能: 及时工程, Prompt Engineering, 大型语言建模, 法学硕士申请, ChatGPT, OpenAI 应用程序接口
您将获得的技能: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
Google Cloud
您将获得的技能: Tensorflow, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Generative Model Architectures, Deep Learning, Machine Learning Methods
总之，以下是 9 最受欢迎的 speech recognition 课程
- Natural Language Processing - Probability Models in Python: Packt
- 物联网：来自设备的传感和驱动: University of California San Diego
- 利用大型语言模型构建生产就绪的应用程序: Coursera
- Machine Learning in the Enterprise - 日本語版: Google Cloud
- ChatGPT API for Developers: Integrate AI Effortlessly: Coursera
- 美式英语发音中的辅音: University of California, Irvine
- 聊天GPT 开发人员提示工程: DeepLearning.AI
- Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
- Encoder-Decoder Architecture - Français: Google Cloud
