Audio-Language Models (ALMs) are a form of artificial intelligence that extend natural language processing (NLP) to the domain of audio, enabling computers to understand, generate, and reason about sounds and speech by integrating audio data with language understanding. Trained on audio-text data, ALMs bridge the gap between acoustic signals and linguistic meaning, allowing for tasks like zero-shot audio recognition, audio captioning, and the creation of generative audio, such as text-to-audio synthesis.
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