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What is Piper TTS?

Piper is a high-speed, localized neural text-to-speech (TTS) system specifically designed for devices such as the Raspberry Pi 4, with the goal of delivering exceptional speech synthesis capabilities independent of cloud services. By utilizing neural network models created with VITS and later converted to ONNX Runtime, it ensures both efficient and lifelike speech generation. The system supports a wide range of languages including English (US and UK variations), Spanish (from Spain and Mexico), French, German, and several others, along with options for downloadable voices. Users can interact with Piper through command-line interfaces or easily incorporate it into Python applications using the piper-tts package, allowing for versatile usage. Features like real-time audio streaming, the ability to process JSON inputs for batch tasks, and support for multi-speaker models further enhance its functionality. In addition, Piper leverages espeak-ng for phoneme generation, converting text into phonemes prior to speech synthesis. Its versatility is evident in its applications across multiple projects such as Home Assistant, Rhasspy 3, and NVDA, showcasing its adaptability to various platforms and scenarios. By prioritizing local processing, Piper is particularly appealing to users who value privacy and efficiency in their speech synthesis applications. Its capability to operate seamlessly across different environments makes it a powerful tool for developers and users alike.

What is Bland Speech v3?

Bland Speech v3 represents a cutting-edge text-to-speech technology designed to produce voice audio that mimics human speech closely, especially useful in scenarios like phone conversations where overly polished tones might feel disingenuous. This advanced model incorporates vital human characteristics such as breathing patterns, stutters, pauses, laughter, and throat-clearing by employing performance tags that are performed rather than merely recited. Users have the flexibility to either input their own scripts or make use of the Director feature to outline a dialogue, enabling Bland to meticulously shape the conversation's timing, structure, and delivery before the speech is generated. In addition to these features, the model provides voice cloning capabilities: a quick clone can be created from around 10 seconds of audio, while more professional-grade cloning necessitates at least 30 minutes of confirmed audio, during which users must verify ownership of the voice. Furthermore, Bland Speech is accessible through a web-based studio and a single API endpoint /v1/speak, which requires bearer-key authentication to ensure secure access. The audio is delivered using HTTP chunked transfer or WebSocket protocols, resulting in PCM16 WAV files at a 44.1 kHz sample rate, which guarantees excellent quality for various applications. This multifaceted functionality positions Bland Speech as a crucial resource for developers aiming to elevate their audio production capabilities, making it an indispensable solution in the realm of text-to-speech technologies.

Media

Media

Integrations Supported

Amazon Connect
Bland AI
Cal.com
Calendly
Five9
Genesys Cloud CX
HubSpot CRM
JSON
Make
NiCE CXone Mpower
Notion
Pipedream
Python
Salesforce
Slack
Talkdesk
Twilio
Zapier
iMessage

Integrations Supported

Amazon Connect
Bland AI
Cal.com
Calendly
Five9
Genesys Cloud CX
HubSpot CRM
JSON
Make
NiCE CXone Mpower
Notion
Pipedream
Python
Salesforce
Slack
Talkdesk
Twilio
Zapier
iMessage

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

$0.11 per minute
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rhasspy

Company Location

United States

Company Website

github.com/rhasspy/piper

Company Facts

Organization Name

Bland AI

Date Founded

2023

Company Location

United States

Company Website

www.bland.ai/speech

Categories and Features

Text to Speech

API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech

Categories and Features

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