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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
Piper is a rapidly operating, localized neural text-to-speech (TTS) system that is particularly optimized for devices like the Raspberry Pi 4, aiming to provide top-notch speech synthesis capabilities without the dependence on cloud infrastructure. It employs neural network models developed with VITS and subsequently exported to ONNX Runtime, which facilitates both efficient and natural-sounding speech production. Supporting a diverse array of languages, Piper includes English (both US and UK dialects), Spanish (from Spain and Mexico), French, German, and many others, with downloadable voice options available. Users have the flexibility to operate Piper through command-line interfaces or integrate it seamlessly into Python applications via the piper-tts package. The system boasts features such as real-time audio streaming, JSON input for batch processing, and compatibility with multi-speaker models, enhancing its versatility. Additionally, Piper makes use of espeak-ng for phoneme generation, transforming text into phonemes before generating speech. It has found applications in various projects, including Home Assistant, Rhasspy 3, and NVDA, among others, illustrating its adaptability across different platforms and use cases. With its emphasis on local processing, Piper appeals to users looking for privacy and efficiency in their speech synthesis solutions.
API Access
Has API
API Access
Has API
Integrations
Amazon Connect
Bland AI
Cal.com
Calendly
Five9
Genesys Cloud CX
HubSpot CRM
JSON
Make
NiCE CXone Mpower
Integrations
Amazon Connect
Bland AI
Cal.com
Calendly
Five9
Genesys Cloud CX
HubSpot CRM
JSON
Make
NiCE CXone Mpower
Pricing Details
$0.11 per minute
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bland AI
Founded
2023
Country
United States
Website
www.bland.ai/speech
Vendor Details
Company Name
Rhasspy
Country
United States
Website
github.com/rhasspy/piper
Product Features
Product Features
Text to Speech
API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech