The duration of apodization in seconds.

Repeated field holding individual synthesis requests that make up the batch request.

Repeated field holding individual synthesis responses that correspond to the input requests in the batch.

Flag indicating whether caching is active.

The maximum size of the memory cache.

The sampling rate for caching.

Flag indicating whether to load cache.

Flag indicating whether to save cache.

The directory path to save the cache.

Text-to-mel inference settings.

Mel-to-audio inference settings.

The prefix for the custom phonemizer ID.

Repeated field of Map messages representing word-to-phoneme mappings.

The ID of the custom phonemizer.

Repeated field of Map messages representing word-to-phoneme mappings.

The batch size for inference.

Flag indicating whether to use GPU for inference.

The length scale for inference.

The noise scale for inference.

The path to the GlowTTS model.

Repeated field containing the cleaners for text normalization.

The path to the parameter configuration.

The batch size for inference.

The length scale for inference.

The noise scale for inference.

Repeated field containing the cleaners for text normalization.

The maximum text length allowed.

The path to the parameter configuration.

The name of the Triton model.

The host of the Triton inference server which servers the model.

The port of the Triton inference server which servers the model.

Flag indicating whether to use GPU for inference.

The batch size for inference.

The path to the HiFiGan configuration.

The path to the HiFiGan model.

The path to the HiFiGan Triton configuration.

The name of the Triton model.

The host of the Triton inference server which servers the model.

The port of the Triton inference server which servers the model.

Repeated field of pipeline IDs to filter the list of custom phonemizers.

Repeated field of CustomPhonemizerProto messages representing the custom phonemizers.

Optional. Define the speaker sex.

Optional. Define the pipeline owner/ owners.

Optional. Define the speaker name/ names.

Optional. Define the language/ languages.

Required. Define the domain/ domains that satisfy/ies the specifications in the ListT2sDomainsRequest.

Optional. Define the speaker sex.

Optional. Define the pipeline owner/ owners.

Optional. Define the speaker name/ names.

Optional. Define the domain/ domains.

Required. Define the language/ languages that satisfy/ies the specifications in the ListT2sLanguagesRequest.

Optional. Define the language.

Required. Representation of a list of normalization pipelines configurations. Retrieved by ListT2sNormalizationPipelines, containing the configurations of normalization pipelines with the specifications received in the ListT2sNormalizationPipelinesRequest.

Optional. Define the language/ languages.

Optional. Define the speaker sex.

Optional. Define the pipeline owner/ owners.

Optional. Define the speaker name/ names.

Optional. Define the domain/ domains.

Required. Representation of a list of pipelines configurations. Retrieved by ListT2sPipelines, containing the configurations of pipelines with the specifications received in the ListT2sPipelinesRequest.

The initial noise value.

The window size.

The noise threshold.

The word to be mapped.

The phoneme groups associated with the word.

The path to the MbMelgan Triton configuration.

The path to the MbMelgan statistics.

The name of the Triton model.

The host of the Triton inference server which servers the model.

The port of the Triton inference server which servers the model.

The type of mel-to-audio inference.

MbMelgan Triton inference settings.

HiFiGan inference settings.

HiFiGan Triton inference settings.

The ID of the text-to-speech pipeline.

The text to be normalized.

The normalized text.

The ID of the phonemizer.

The duration of silence in seconds.

Repeated field containing pipeline names.

Logmnse postprocessing settings.

Wiener postprocessing settings.

Apodization postprocessing settings.

Required. Represents the pipeline id of the model configuration that will be used.

Optional. This parameter is used for time stretching which is the process of changing the speed or duration of an audio. It should be much more than 1.0. O is not a valid number for this variable. The default value is 1.

Optional. Defines the noise in the generated audio. It should be between 0.0 and 1. The default value is 0.0

Optional. Defines the sample rate of the generated wav file. The default value is 22050.

Optional. Defines the pulse-code modulation of the wav file. The default value is PCM_16.

Optional. Defines the format of the desired audio. The default value is wav.

Optional. Define if cache should be used or not. The default value is False.

Optional. t2s_service_config provides the configuration of the service such as API key, bearer tokens, JWT, and other header information as key value pairs, e.g.,

MY_API_KEY='LKJDIFe244LKJOI'

Optional. Defines the cloud provider's specific configuration for using text to speech cloud services The default value is None.

Optional. Define t2s_normalization config parameters for this specific request. The default values are set in the config file and the values set via RequestConfig are set just for this specific request and will not update the pipeline.

Optional. Define a dict which specifies the phonemes for a special word.

Text-to-audio inference settings.

Required. Represents the text that will be transformed to speech. All the properties according to the input text in SynthesizeRequest can be also applied here.

Required. Represents the specifications needed to do the text to speech transformation.

Required. Represents the pipeline id of the model configuration that will be used.

Required. Generated file with the parameters described in request.

Required. Time to generate audio.

Required. Audio length.

Required. Text from which audio was generated.

Required. Configuration from which audio was generated.

Optional. Normalized text.

Optional. Value of sampling rate

Required. Represents the text that will be transformed to speech.

Synthesize text:

Hello, how are you?

Examples to modulate the voice based on SSML tags and Arpabet phonemes:

<say-as interpret-as="phone">+12354321</say-as>

<say-as interpret-as="email">voices@ondewo.com</say-as>

<say-as interpret-as="url">ondewo.com/en/</say-as>

<say-as interpret-as="spell">AP732</say-as>

<say-as interpret-as="spell-with-names">AHO32</say-as>

<say-as interpret-as="callsign-short">AUA439</say-as>

<say-as interpret-as="callsign-long">AAL439</say-as>

I am going to take a 2 seconds break  done

Hello I am {AE2 L EH0 G Z AE1 N D R AH0}

Required. Represents the specifications needed to do the text to speech transformation.

Required. Represents the pipeline id of the model configuration that will be used.

Required. Generated file with the parameters described in request.

Required. Time to generate audio.

Required. Audio length.

Required. Text from which audio was generated.

Required. Configuration from which audio was generated.

Optional. Normalized text.

Optional. Value of sampling rate

The custom length scale for general text.

The custom length scale for email text.

The custom length scale for URL text.

The custom length scale for phone number text.

The custom length scale for spelled-out text.

The custom length scale for spelled-out text with names.

The custom length scale for long callsigns.

The custom length scale for short callsigns.

The language supported by the service.

The owner of the text-to-speech pipeline.

Additional comments or notes.

The name of the speaker.

The domain or context of the service.

version number

The type of inference.

Composite inference settings.

Single inference settings.

Caching settings.

The language for which the normalization is applied.

The pipeline(s) used for normalization.

The ID of the custom phonemizer, if used.

Custom length scales for different text types.

The mapping for Arpabet phonemes.

The mapping for numeric expressions.

The mapping for callsigns.

The mapping for phoneme correction.

Configuration for Eleven Labs text-to-speech provider.

Configuration for Google text-to-speech provider.

Configuration for Microsoft text-to-speech provider.

Stability level for inference, influencing consistency of generated speech. It is in the range [0.0, 1.0].

Boost value for similarity to enhance the similarity of the generated voice to a target voice. It is in the range [0.0, 1.0].

Style parameter to control the expression or emotion in speech. It is in the range [0.0, 1.0].

Enables or disables speaker boost for emphasis on clarity and loudness.

Specifies type of text normalization to apply during processing. Available options are 'auto', 'on', and 'off'.

Speaking rate for inference, controlling the speed of generated speech. It is in the range [0.25, 4.0].

Volume gain in dB applied to the generated speech. It is in the range [-96.0, 16.0].

Pitch adjustment for inference, allowing control over voice pitch. It is in the range in the range [-20.0, 20.0].

Determines whether to use the default speaker voice.

Voice ID indicating the speaker

Model id for the inference server.

Language of the generated audio. It should be 4-Letter language code.

Model ID indicating the name of the model

Voice ID indicating the speaker

Voice setting of the inference

Flag to indicate applying text normalization

Voice ID indicating the speaker

Speaking rate to control the speed of audio.

Volume gain in db to control volume of the audio.

pitch value of the audio

Voice ID indicating the speaker.

Flag to indicate using the default speaker.

Required. Defines the id of the pipeline.

The type of text-to-audio inference.

Vits inference settings.

Vits Triton inference settings.

ElevenLabs cloud service inference settings.

Amazon cloud service inference settings.

Google cloud service inference settings.

Microsoft cloud service inference settings.

The type of text-to-mel inference.

GlowTTS inference settings.

GlowTTS Triton inference settings.

Required. Defines the id of the pipeline.

Required. Defines the description of the pipeline representation.

Required. Defines if the pipeline is active or inactive.

Required. Defines he inference of the pipeline representation.

Required. Defines the normalization process of the pipeline representation.

Required. Defines the postprocessing process of the pipeline representation.

The ID of the custom phonemizer to be updated.

The update method.

Repeated field of Map messages representing word-to-phoneme mappings.

The batch size for inference.

Flag indicating whether to use GPU for inference.

The length scale for inference.

The noise scale for inference.

The path to the Vits model.

Repeated field containing the cleaners for text normalization.

The path to the parameter configuration.

The batch size for inference.

The length scale for inference.

The noise scale for inference.

Repeated field containing the cleaners for text normalization.

The maximum text length allowed.

The path to the parameter configuration.

The name of the Triton model.

The host of the Triton inference server which servers the model.

The port of the Triton inference server which servers the model.

stability value for elevenlabs inference

similarity boost value for ElevenLabs inference.

style boost value for ElevenLabs inference.

Flag to indicate speaker boost

The frame length.

The LPC order.

The number of iterations.

The alpha value.

The threshold value.