Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Bland Speech v3 is an innovative text-to-speech model that aims to generate voice audio that closely resembles that of a human, particularly in contexts like phone calls where overly polished speech may come off as inauthentic. This model captures essential human elements such as breathing, stutters, pauses, laughter, and throat-clearing by utilizing performance tags that are acted out rather than simply read. Users have the option to input their own scripts or utilize the Director feature to outline a conversation, allowing Bland to craft the dialogue, timing, and delivery prior to speech generation. Additionally, it offers voice cloning capabilities: a quick clone can be made from approximately 10 seconds of audio, whereas professional-grade cloning requires 30 minutes or more of verified audio, with users affirming that each voice belongs to them. Bland Speech can be accessed via a web studio and a single /v1/speak API endpoint, which employs bearer-key authentication for security. Audio is streamed through HTTP chunked transfer or WebSocket, returning PCM16 WAV files at a sample rate of 44.1 kHz, ensuring high-quality output for diverse applications. This versatility makes Bland Speech an essential tool for developers looking to enhance their audio experiences.
Description
Inworld Realtime STT is a streaming API for speech-to-text that captures more than just spoken words. This innovative tool merges low-latency speech recognition with voice profiling capabilities, allowing it to analyze emotions, vocal style, accent, age, and pitch from raw audio inputs, which enhances the responsiveness and expressiveness of downstream LLMs and TTS systems. Developers have the flexibility to stream audio in real time, transcribe entire files, or gather voice profile signals via a single, comprehensive API. The system features real-time bidirectional streaming over WebSocket, synchronous transcription for complete audio files, and offers voice profile signals for each streaming segment, all while supporting multiple providers through one model ID. Each audio segment provides a dynamic profile of the speaker, complete with confidence scores, equipping LLMs with structured context that indicates the emotional state of the user, such as whether they sound sad, frustrated, soft-spoken, high-pitched, or calm. This capability allows for a more nuanced interaction, enriching the user experience by adapting responses to the speaker’s emotional tone and vocal characteristics.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Connect
Yes
Bland AI
Yes
Cal.com
Yes
Calendly
Yes
Five9
Yes
Genesys Cloud CX
Yes
HubSpot CRM
Yes
Make
Yes
NiCE CXone Mpower
Yes
Notion
Yes
Integrations
Amazon Connect
No
Bland AI
No
Cal.com
No
Calendly
No
Five9
No
Genesys Cloud CX
No
HubSpot CRM
No
Make
No
NiCE CXone Mpower
No
Notion
No
Pricing Details
$0.11 per minute
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Bland AI
Founded
2023
Country
United States
Website
www.bland.ai/speech
Vendor Details
Company Name
Inworld
Founded
2021
Country
United States
Website
inworld.ai/speech-to-text