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Microsoft text to speech recorder pro#
Microsoft text to speech recorder professional#
Microsoft text to speech recorder series#

You can typically reach a 35+ SNR by recording at professional studios. A heavy accent can reduce your pronunciation score and affect the generated digital voice.Ī higher signal-to-noise ratio (SNR) indicates lower noise in your audio. A score below 70 normally indicates a speech error or script mismatch. The pronunciation score ranges from 0-100. On the Overview tab, you can further check the pronunciation scores and the noise level for each of your data. If there are any errors, fix them and submit again.Īfter you upload the data, you can check the details in the training set detail view.

Microsoft text to speech recorder series#

Data validation includes series of checks on the audio files to verify their file format, size, and sampling rate. zip files for standard subscription (S0) users.ĭata files are automatically validated when you select Submit. The maximum number of data files allowed to be imported per subscription is 500.

If you reach the limit, wait until at least one of your data files finishes importing.

Standard subscription (S0) users can upload five data files simultaneously.

Then select Specify the target training set.Įnter the name and description for your data, review the settings, and select Submit. Select Upload data > Choose data type > Upload data. When the training set is successfully created, you can start to upload your data. Select Prepare training data > Add training set.Įnter Name and Description, and then select Create to add a new training set. You can do the following to create and review your training data: You can import multiple data to a training set. The service checks data readiness per each training set. You can use a training set to organize your training data. A training set is a set of audio utterances and their mapping scripts used for training a voice model. When you're ready to upload your data, go to the Prepare training data tab to add your first training set and upload data. Go to Review and create, review the settings, and select Submit. Make sure the verbal statement is recorded in the same settings as your training data, including the recording environment and speaking style. For more information, see voice talent verification. You create a voice talent profile, which is used to verify against your training data when you create a voice model.

Upload this audio file to the Speech Studio as shown in the following screenshot. The language of the verbal statement must be the same as your recording. You can find the statement in multiple languages on GitHub. When you prepare your recording script, make sure you include the statement sentence. To train a neural voice, you must create a voice talent profile with an audio file recorded by the voice talent, consenting to the usage of their speech data to train a custom voice model. For details on recording voice samples, see the tutorial. Before you create a voice, define your voice persona and select a right voice talent. PrerequisitesĪ voice talent is an individual or target speaker whose voices are recorded and used to create neural voice models.

Microsoft text to speech recorder pro#

This article focuses on the creation of a professional Custom Neural Voice using the Pro project. See Custom Neural Voice project types for information about capabilities, requirements, and differences between Custom Neural Voice Pro and Custom Neural Voice Lite projects.