![]() You can also use this feature for media content classification and verify that the main spoken language in your videos and podcasts is correctly labeled. This is useful when your media library contains audio files in different languages. Automatic language identification With Amazon Transcribe, you can automatically identify the dominant language in an audio file and generate transcriptions. For example, Transcribe adapts to low-fidelity phone audio common in contact centers. Audio inputs Domain specific models Select a model that is tuned to telephone calls or multimedia video content. Using a secure connection, you can send a live audio stream to the service, and receive a stream of text in response. Streaming & batch transcription You can process your existing audio recordings or stream the audio for real-time transcription. We also offer separate APIs that uniquely understand customer calls (Amazon Transcribe Call Analytics) and medical conversations (Amazon Transcribe Medical). Audio inputs - Transcribe is designed to process live and recorded audio or video input to provide high quality transcriptions for search and analysis.Transcribe’s features enable you to ingest audio input, produce easy to read and review transcripts, improve accuracy with customization, and filter content to ensure customer privacy. Features - Amazon Transcribe is an automatic speech recognition service that makes it easy to add speech to text capabilities to any application.See here for additional language support and their language reference. Languages - Amazon Transcribe supports English, Arabic, Spanish, French, German, Italian, Portuguese, Dutch, Hindi, Japanese, Korean, and other languages, which can be used as requested.For example, if you train your model using climate science research papers, your model may learn that 'ice floe' is a more likely word pair than 'ice flow'. ![]() This includes how and when a word is used, and the relationship a word has to other words. Unlike custom vocabularies, which increase recognition of a word by providing hints (such as pronunciations), custom language models learn the context associated with a given word. In this case, you can train a custom language model to recognize the specialized terms used in your discipline. ![]() For example, if you're transcribing the proceedings from a scientific conference, a standard transcription is unlikely to recognize many of the scientific terms used by presenters. ![]() This includes any content outside of what you would hear in normal, everyday conversations. Models - Custom language models are designed to improve transcription accuracy for domain-specific speech.With Amazon Transcribe, you can improve accuracy for your specific use case with language customization, filter content to ensure customer privacy or audience-appropriate language, analyze content in multi-channel audio, differentiate the speech of individual speakers, and more. You can use Amazon Transcribe as a standalone transcription service or to add speech-to-text capabilities to any application. About - Amazon Transcribe is an automatic speech recognition service that uses machine learning models to convert audio to text.
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