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Provider Summary
transcribe audio to text
synthesize speech from text
fast transcribe audio files
batch transcribe audio files
identify and diarize speakers
verify speaker identity
assess pronunciation quality
enroll speaker profiles
identify spoken language
Transcribe short audio, fast single files, or batch audio URLs with Azure AI Speech. Convert text or SSML to neural speech audio attachments, list available voices and base speech models, assess pronunciation on short audio, and manage text-independent speaker profiles for enrollment, verification, and identification.
Submits a batch transcription job to process one or more audio files asynchronously. Ideal for transcribing large volumes of prerecorded audio. Provide audio file URLs or an Azure Blob Storage container URL. The job runs asynchronously — use the Get Batch Transcription tool to check status and retrieve results.
Deletes a batch transcription job and its associated result data. Use this to clean up completed transcriptions after retrieving their results, or to cancel transcriptions that are no longer needed.
Adds a voice enrollment sample to a text-independent speaker verification or identification profile. Use this after creating a profile and before verifying or identifying speakers.
Synchronously transcribes one audio file with Azure Speech fast transcription. Use this for quick file transcription with predictable latency when the audio is too large for short-audio recognition or when phrase/channel/diarization detail is needed.
Retrieves the status and details of a batch transcription job. When the transcription is complete, also fetches the result files including transcription output and report. Use this to check progress of a previously submitted batch transcription and to retrieve the final results.
Identifies which speaker from a group of enrolled profiles is speaking in the provided audio. Compares the audio against up to 50 candidate speaker profiles and returns the best match with a confidence score. Uses text-independent identification — the speaker can say anything.
Lists all batch transcription jobs in your Azure Speech resource. Returns summary information for each transcription including status, locale, and timestamps. Supports pagination for large result sets.
Lists available base speech-to-text models for all locales, including standard and Whisper models. Use this to discover model IDs for batch transcription.
Retrieves the full list of available text-to-speech voices for the configured Azure Speech region. Use this to discover available voices, their supported languages, speaking styles, and capabilities before synthesizing speech. Results can be filtered by locale or gender.
Creates, retrieves, lists, or deletes speaker recognition profiles. Speaker profiles are used for voice verification (confirming identity) and identification (determining who is speaking). Supports text-independent speaker recognition profiles.
Performs real-time speech-to-text recognition on short audio (up to 60 seconds). Converts spoken audio into text using Azure's speech recognition engine. Optionally includes pronunciation assessment to evaluate the accuracy, fluency, completeness, and prosody of spoken audio against a reference text.
Converts text into natural-sounding synthesized speech audio using Azure neural voices. Provide either plain text (which will be wrapped in SSML automatically) or custom SSML for fine-grained control over pronunciation, prosody, speaking styles, pauses, and other speech characteristics. Returns the synthesized audio as a Slate attachment.
Verifies whether a speaker matches a previously enrolled voice profile. Compares the provided audio against the enrolled profile and returns a confidence score and accept/reject decision. Uses text-independent verification — the speaker can say anything.
This integration is licensed under the FSL-1.1.
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