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
状态：免费试用您将获得的技能: Computer Vision, Applied Machine Learning, Digital Signal Processing
状态：免费试用您将获得的技能: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
状态：新状态：预览SkillsBooster Academy
您将获得的技能: Generative AI, AI Product Strategy, Brand Strategy, Content Creation, Business Communication, Storytelling, Media Production, Brand Awareness, Social Media Content, Digital Design, Business Ethics, Marketing Communications, Creative Thinking, Influencing, Business Transformation, Entrepreneurship, Creative Problem-Solving, Media and Communications, Customer Engagement, Digital Marketing
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 计算机视觉, 拥抱的脸, 数据预处理, 张力流, 人工智能和机器学习（AI/ML）, 递归神经网络 (RNN), Keras（神经网络库）, 自然语言处理, 应用机器学习, 调试, 深度学习, 卷积神经网络, 人工神经网络, 机器学习, 性能调整, 嵌入, 监督学习, 迁移学习, 图像分析
状态：新状态：免费试用您将获得的技能: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
状态：免费试用您将获得的技能: PyTorch（机器学习库）, 数据预处理, 自然语言处理, 递归神经网络 (RNN), 数据伦理, 人工神经网络, 模型评估, 生成式人工智能, 功能工程, 分类算法, 大型语言模型, 嵌入, 迁移学习
是什么让您今天来到 Coursera？
状态：免费试用Microsoft
您将获得的技能: 人工智能, 人工智能和机器学习（AI/ML）, 微软 Azure, 自然语言处理, 分析, 应用程序开发, 自动化
状态：新状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)
状态：新状态：预览Northeastern University
您将获得的技能: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction
状态：新状态：预览Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
状态：新状态：预览AI CERTs
您将获得的技能: Natural Language Processing, Digital Signal Processing, Data Ethics, Tensorflow, Responsible AI, Augmented Reality, Artificial Intelligence, AI Personalization, Music, Multimedia, Music Performance, Deep Learning, Information Privacy, Creativity
状态：新状态：预览您将获得的技能: Case Studies, User Experience Design, Business Analysis, Natural Language Processing, Application Programming Interface (API), Application Deployment, Application Development, Artificial Intelligence, Systems Integration, Scalability
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 speech recognition 课程
- AI Applications: Computer Vision and Speech Recognition: Edureka
- Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
- AI Sound Generation for Business Communication: SkillsBooster Academy
- 深度学习: DeepLearning.AI
- Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
- Gen AI 用于 NLP 和语言理解的基础模型: IBM
- Microsoft Azure 中的自然语言处理: Microsoft
- Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
- Applied Natural Language Processing in Engineering Part 1: Northeastern University
- Statistical Learning for Engineering Part 1: Northeastern University
