STT Filler Words
# support
m
Hi, I'm looking to get filler words from the user speech - in the transcript - with the idea to determine hesitation / confidence. Is that something that is intentionally removed from STT in the transcript?
v
Based on the available information, I cannot definitively state whether filler words are intentionally removed from STT transcripts by default. However, Vapi does recognize the importance of filler words like "umm," "ahh," and "like" in conversational speech. For more detailed control over transcription settings, you would need to refer to the documentation of your specific transcription service provider (such as Deepgram or AssemblyAI). Sources: - [Vapi Glossary](https://docs.vapi.ai/glossary) - [How Vapi Works](https://docs.vapi.ai/how-vapi-works) - [Discord Channel](https://discord.com/channels/1211482211119796234/1303981615344779325)
k
Vapi Talkscriber transcription service includes filler words like “uh” and “um” to preserve natural speech flow, which can help analyze hesitation and confidence.
m
what do you mean by 'Vapi Talkscriber transcription service'? is it the default service, or an additional service?
k
The Vapi Talkscriber transcription service is an optional built-in provider offering accurate, real-time speech-to-text and emotion detection, not the default but selectable in settings.
m
found it, thanks what do you mean by emotion detection in terms of transcription? does it indicate any emotion in the transcript?
how do i tailor my prompt to make use of the emotion detection, and how can i get info about the emotion after the call?
k
Like tone and pitch to identify the speaker’s emotions
Tailor your structuredDataPrompt and structuredDataSchema to include sentiment or emotional cues, and retrieve the post-call emotion data from call.analysis.structuredData via the Vapi API.
m
hmm, but these - structuredDataPrompt and structuredDataSchema - only work on the transcript right? if the transcript doesn't have details of tone / pitch, then how would it use this?
I want to get tone and pitch/ emotion from the speaker I was wondering what you use to get the tone and pitch from? Is it only derived from the transcript?
k
Yes, structuredDataPrompt and structuredDataSchema work on the transcript, so if the transcript doesn’t include tone or pitch details, those elements won’t be available unless you integrate additional tools to analyze audio features..
Vapi detects tone, pitch, and emotion through audio analysis, not just the transcript, using techniques like pitch variation detection and integrating with tools like Talkscriber for emotion detection during conversations..
m
Regarding this part - since vapi detects tone, pitch, emotion etc - can it provide this information in the metadata of the transcript? It would be for us to useful to analyze the call using this information
k
Yes, Vapi can include emotion, tone, and pitch data in transcript metadata by configuring the analysisPlan with a custom structuredDataSchema, retrievable via the API after the call..
m
will look into this thanks for the help!