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ease
features
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support

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Description

Baidu’s advanced speech technology equips developers with top-tier features such as converting speech to text, transforming text into speech, and enabling speech wake-up functionalities. When integrated with natural language processing (NLP) technology, it supports a wide range of applications, including speech input, audio content analysis, speech searches, video subtitles, and broadcasting for books, news, and orders. This system is capable of transcribing spoken words lasting under a minute into written text, making it ideal for mobile speech input, intelligent speech interactions, command recognition, and search functionalities. Moreover, it can accurately transcribe audio streams, providing precise timestamps for each sentence's beginning and end. Its versatility extends to scenarios that involve lengthy speech inputs, subtitle generation for audio and video, and documentation of meeting discussions. Additionally, it allows for the batch uploading of audio files for character conversion, delivering recognition outcomes within a 12-hour timeframe, thus proving beneficial for tasks like record quality checks and detailed audio content evaluation. Overall, Baidu’s speech technology stands out as a comprehensive solution for a myriad of speech-related needs.

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

Screenshots View All

Screenshots View All

Integrations

Android
Apple iOS
JSON
Python

Integrations

Android
Apple iOS
JSON
Python

Pricing Details

No price information available.
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

Baidu

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/speech.html

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

Alternatives

Alternatives

BuildPiper Reviews

BuildPiper

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