do the web app transcriptions come from STT? i'm getting different text in user_transcript logs to what is displayed in the app

Thanks for reaching out, Nick. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

but it's the user_transcripts that are correct

Hey there! I totally get how frustrating it can be when transcriptions aren't showing up quite right. Let me break down some possible reasons why this might be happening: • Text Processing Differences: Sometimes the way text gets formatted can cause little hiccups. Imagine if line breaks get swapped out for spaces - that could definitely mess things up! • Audio-Text Synchronization Issues: Think of this like a dance where the audio and text aren't quite moving in sync. It can make transcriptions look a bit off-beat. • Realtime Model Limitations: Real-time transcription is tricky! It's like trying to write down what someone's saying while they're still talking - sometimes things get jumbled. • Speech-to-Text Processing Pipeline: The system tries to be helpful by guessing what you meant, but sometimes that "helpfulness" can accidentally change the original meaning. • Turn Detection and Context Issues: It's like the app is trying to follow a conversation but occasionally gets a bit lost about who's speaking and when. The key is to dig into how the transcripts move from being generated to being displayed. We'll want to look at each step to see where things might be getting mixed up. Don't worry - we'll get to the bottom of this together! Sources: livekit-plugins/livekit-plugins-aws/livekit/plugins/aws/experimental/realti... | Realtime model integrations | LiveKit Docs

even though i'm using this code below but live transcriptions are not always in french

async def entrypoint(ctx: agents.JobContext):
    session = AgentSession(
        stt=deepgram.STT(model="nova-2", language="fr"),
        llm=openai.realtime.RealtimeModel(voice="coral"),
    )

Hey there! 👋 I totally get how frustrating it can be when your live transcriptions aren't coming out in French as you expected. Let me break down why this might be happening and help you get things back on track. • Model Compatibility Issues: Some of our models, like "nova-2-meeting" or "nova-2-phonecall," are a bit picky and only work with English. If you try to use these with

language="fr"

, the system will switch to a more general model like "nova-2-general" – which might not nail the French transcription as perfectly as you'd hope. • Language Detection Conflicts: When

detect_language=True

is turned on, it can actually override your language setting. This means if the system thinks it hears something other than French, it might switch languages on you! No worries, though! Here are some friendly tips to get your French transcriptions working smoothly: 1. Pick a model that loves French – like "nova-2-general" or "nova-3" – they'll have your back. 2. Turn off language detection by setting

detect_language=False

. This helps keep your language setting locked in. 3. Double-check you're using the right language code. Stick to

"fr"

or

"fr-CA"

from our supported languages list. Here's a quick config that should solve your French transcription blues:

stt = deepgram.STT(
    model="nova-2-general",  # or "nova-3"
    language="fr",
    detect_language=False,
    # other options...
)

Pro tip: Keep an eye on those logs! They'll give you a heads up if any model fallbacks are happening behind the scenes. You've got this! 🇫🇷✨ Sources: livekit-plugins/livekit-plugins-gladia/livekit/plugins/gladia/stt.py

detect_language=False seems to help

Hey there! I'm so glad we found a solution that works for you. By setting

detect_language=False

, you've made sure your language preferences stay exactly how you want them, without any automatic switching getting in the way. If you run into any other bumps along the road or just want to chat about it, I'm here for you. Don't hesitate to reach out – we'll figure it out together!