Exploring Audio AI: From Sound Recognition to Intelligent Audio Editing

The global speech and voice recognition market is expected to reach USD 26.8 billion by 2025, driven by the rising popularity of voice assistants. Audio AI has diverse applications across industries such as media, healthcare, security, and smart devices. It enables organizations to build tools like virtual assistants with advanced functionalities such as automated transcription, translation, and audio enhancement. Key capabilities include text-to-speech (TTS), voice cloning, voice generation, voice dubbing, speech-to-text transcription, emotion recognition in speech, sound event detection, music recommendation, and automation of tasks like transcribing meeting minutes or generating video subtitles. However, developing effective audio AI solutions is challenging due to data preparation, accuracy and bias issues, data privacy concerns, continuous adaptation requirements, and multimodal support integration challenges. Encord's comprehensive multimodal AI data platform can help streamline data management and model development workflows by providing flexible classification, overlapping annotations, collaboration tools, efficient editing, and AI-assisted annotation features.