Picovoice's on-device voice AI platform offerings Cheetah Streaming Speech-to-Text and Orca Streaming Text-to-Speech now support the French language, enabling developers to build low-latency voice AI agents that understand and speak French.
Zero-latency, real-time transcription in French
Similar to cloud real-time transcription APIs, Cheetah Streaming Speech-to-Text empowers enterprises to increase the accessibility and discoverability of their audio and video content - whether it's a live event, online meeting, medical dictation, or Voice AI agents.
Zero-Latency, real-time voice generation in French
Latency limits the adoption of LLM-based voice assistants. The awkward silence while waiting for the AI's response undermines the goal of using advanced GenAI to enable seamless, humanlike interactions. Orca Streaming Text-to-Speech, which plans ahead and starts synthesizing in parallel to the LLM in locked steps in order to eliminate this latency, now supports French.
Building Low-Latency French-Speaking AI Agents
The ideal AI agents function like skilled human agents, listening to the customers as they speak and delivering the narrative as it unfolds. This way, applications can begin processing and playing the audio response while still receiving data, helping to reduce perceived latency. To achieve this, both French Speech-to-Text and French Text-to-Speech, like in other languages, need streaming capability with minimal latency.
- Streaming Capability: Both Orca and Cheetah process streaming inputs.
Unlike state-of-the-art on-device transcription engines, such as Whisper, Cheetah is designed to handle streaming voice input, eliminating the limitations for real-time applications.
Orca On-device Streaming Text-to-Speech for French processes text data continuously enables users to hear the audio output as the information comes in, providing a significant advantage over traditional TTS systems that handle text in predefined chunks.
- Minimal Latency: Unlike cloud APIs, such as AWS Transcribe and Amazon Polly, or Google Speech-to-Text and Google Text-to-Speech, Orca and Cheetah do not send voice data to remote servers to get it transcribed, eliminating the latency in voice AI applications.
On-device AI models, Cheetah and Orca, give developers a clear edge over cloud-dependent APIs, which are reliant on external parties and subject to connectivity issues with ISPs or data centers.
Choosing the best French Speech-to-Text
Evaluate Cheetah Streaming Speech-to-Text accuracy by comparing it against popular asynchronous French speech-to-text models using our open-source French speech-to-text benchmark.
French Benchmark Graph
Comparez les modèles Picovoice Cheetah, Whisper, Amazon Transcribe et Google Speech-to-text en français. Choisissez celui qui convient le mieux à votre candidature!
Choosing Text-to-Speech for Low-Latency Voice AI Agents
Compare text-to-speech latency leveraging Picovoice's Open-Source Text-to-Speech Latency Benchmark. The benchmark enables developers to measure Voice Assistant Response Time scientifically, empowering data-driven decision-making.
Start Building Now
Building low-latency voice AI agents with Picovoice's intuitive and cross-platform SDKs doesn't require any experience in Machine Learning. Check out pico-cookbook to build a hands-free, LLM-powered voice AI agent with Picovoice.
