Access solution from a programming REST API or SDK.Recognize, identify, caption, index, and moderate your pictures, videos, and digital ink content. Translate from one language to another and enable speaker verification and recognition. Service categoryīuild apps that surface recommendations for informed and efficient decision-making.Īllow your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want.Īdd Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call.Ĭonvert speech into text and text into natural-sounding speech. The services are divided into different categories to help you find the right service. You don't need special machine learning or data science knowledge to use these services.Ĭognitive Services is a group of services, each supporting different, generalized prediction capabilities. To verify support, see Language and voice support for the Speech service.Cognitive Services provides machine learning capabilities to solve general problems such as analyzing text for emotional sentiment or analyzing images to recognize objects or faces. For more information, see Custom Speech and Speech to text REST API.Ĭustomization options vary by language or locale. It can also be used to improve recognition based for the specific audio conditions of the application by providing audio data with reference transcriptions. The base model works very well in most speech recognition scenarios.Ī custom model can be used to augment the base model to improve recognition of domain-specific vocabulary specific to the application by providing text data to train the model. When you make a speech recognition request, the most recent base model for each supported language is used by default. The base model is pre-trained with dialects and phonetics representing a variety of common domains. Out of the box, speech recognition utilizes a Universal Language Model as a base model that is trained with Microsoft-owned data and reflects commonly used spoken language. For more information, see Speech service pricing. You can conserve resources if the custom speech model is only used for batch transcription. A custom speech model can be used for real-time speech to text, speech translation, and batch transcription.Ī hosted deployment endpoint isn't required to use Custom Speech with the Batch transcription API. With Custom Speech, you can evaluate and improve the accuracy of speech recognition for your applications and products. For Speech CLI help with batch transcriptions, run the following command: The Speech CLI supports both real-time and batch transcription.Speech to text REST API: To get started, see How to use batch transcription and Batch transcription samples (REST).Transcriptions, captions, or subtitles for pre-recorded audio.Use batch transcription for applications that need to transcribe audio in bulk such as: You can point to audio files with a shared access signature (SAS) URI and asynchronously receive transcription results. Batch transcriptionīatch transcription is used to transcribe a large amount of audio in storage. Real-time speech to text is available via the Speech SDK and the Speech CLI. Transcriptions, captions, or subtitles for live meetings.Use real-time speech to text for applications that need to transcribe audio in real-time such as: With real-time speech to text, the audio is transcribed as speech is recognized from a microphone or file. To compare pricing of real-time to batch transcription, see Speech service pricing.įor a full list of available speech to text languages, see Language and voice support.
0 Comments
Leave a Reply. |