TTS

pipecat.services.aws.tts.language_to_aws_language(language)

Parameters:

language (Language)

Return type:

str | None

class pipecat.services.aws.tts.AWSPollyTTSService(*, api_key=None, aws_access_key_id=None, aws_session_token=None, region=None, voice_id='Joanna', sample_rate=None, params=None, **kwargs)

Bases: TTSService

Parameters:

• api_key (str | None)

• aws_access_key_id (str | None)

• aws_session_token (str | None)

• region (str | None)

• voice_id (str)

• sample_rate (int | None)

• params (InputParams | None)

class InputParams(*, engine=None, language=Language.EN, pitch=None, rate=None, volume=None, lexicon_names=None)

Bases: BaseModel

Parameters:

• engine (str | None)

• language (Language | None)

• pitch (str | None)

• rate (str | None)

• volume (str | None)

• lexicon_names (List[str] | None)

engine: str | None

language: Language | None

pitch: str | None

rate: str | None

volume: str | None

lexicon_names: List[str] | None

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

can_generate_metrics()

Return type:

bool

language_to_service_language(language)

Convert a language to the service-specific language format.

Parameters:

language (Language) – The language to convert.

Returns:

The service-specific language identifier, or None if not supported.

Return type:

str | None

async run_tts(text)

Run text-to-speech synthesis on the provided text.

This method must be implemented by subclasses to provide actual TTS functionality.

Parameters:

text (str) – The text to synthesize into speech.

Yields:

Frame – Audio frames containing the synthesized speech.

Return type:

AsyncGenerator[Frame, None]

class pipecat.services.aws.tts.PollyTTSService(**kwargs)

Bases: AWSPollyTTSService