Added support for Google Journey TTS voices

CHANGELOG.md

@@ -7,10 +7,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
-- Added new foundational examples for `LiveKitTransportLayer` -
+### Added
 
-  - `29-livekit-audio-chat.py` - Supports both Audio to Audio and Text to Audio
-    chat pipelines.
+- Added support for Google TTS Journey voices in `GoogleTTSService`.
+
+- Added `29-livekit-audio-chat.py`, as a new foundational examples for
+  `LiveKitTransportLayer`.
 
 ## [0.0.52] - 2024-12-24
 

examples/foundational/07n-interruptible-google.py

@@ -22,6 +22,7 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.services.deepgram import DeepgramSTTService
 from pipecat.services.google import GoogleTTSService
 from pipecat.services.openai import OpenAILLMService
+from pipecat.transcriptions.language import Language
 from pipecat.transports.services.daily import DailyParams, DailyTransport
 
 load_dotenv(override=True)
@@ -50,8 +51,8 @@ async def main():
         stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
 
         tts = GoogleTTSService(
-            voice_id="en-US-Neural2-J",
-            params=GoogleTTSService.InputParams(language="en-US", rate="1.05"),
+            voice_id="en-US-Journey-F",
+            params=GoogleTTSService.InputParams(language=Language.EN_US),
         )
 
         llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")

src/pipecat/services/google.py

@@ -865,8 +865,15 @@ class GoogleTTSService(TTSService):
         try:
             await self.start_ttfb_metrics()
 
-            ssml = self._construct_ssml(text)
-            synthesis_input = texttospeech_v1.SynthesisInput(ssml=ssml)
+            is_journey_voice = "journey" in self._voice_id.lower()
+
+            # Create synthesis input based on voice_id
+            if is_journey_voice:
+                synthesis_input = texttospeech_v1.SynthesisInput(text=text)
+            else:
+                ssml = self._construct_ssml(text)
+                synthesis_input = texttospeech_v1.SynthesisInput(ssml=ssml)
+
             voice = texttospeech_v1.VoiceSelectionParams(
                 language_code=self._settings["language"], name=self._voice_id
             )