Business, Free News Articles, Software

FineShare FineVoice: A One-Stop Digital Voice Solution Unleashing the Charm of Voice

LOS ANGELES, Calif. -- FineShare, an emerging software company committed to improving the user experience of virtual communications, online presentations, and real-time video, today officially announced the launch of its voice processing product, FineVoice. FineShare FineVoice is a one-stop digital voice solution that can transform voice and record sound from multiple sources with ease and offers a variety of features including text to speech, speech to text, audio extractor, and file voice changer.

FineShare FineVoice is a full-featured digital voice solution for streamers, gamers, podcasters, educators, students, etc. It can be used to change voice, record voice, create voiceovers, transcribe recordings, extract audio from video, and modify the voice of an audio file. This useful software is designed to help users unleash the charm of voice and make their voices sound more attractive and fun.

Real-time Voice Changer

Offering 30+ voice effects, FineShare FineVoice can transform users' voices into a child, female, robot, Venom, Chipmunk, and more. Besides, it also has a library of 300+ sound effects and 28+ audio effects. Users can play, upload sound effects and even create custom voice effects they like.

Voice Recorder

It gives users great flexibility to create audio content. Users can easily record sound from multiple sources, such as microphone, computer, iPhone, and iPad, as well as shape their voices by applying voice & audio effects. FineShare FineVoice can also save users' recording project settings for future use, reducing the repetitive tasks and improve efficiency.

Text to Speech

There are over 220 AI realistic voices. Users can use it to generate natural-sounding voiceovers for their videos, podcasts, novels, articles, screenplays, and presentations and make their content more engaging and accessible without having to spend much time and money finding the right voice actor.

Speech to Text

Manually transcribing audio can be a tedious task. With FineShare FineVoice, transcription tasks can be done quickly and generate the most accurate and complete results for users. It's an excellent automatic transcription service to transcribe conversations, meetings, phone calls, lectures, and interviews.

Audio Extractor

Users can extract their favorite audio files directly from videos in various formats like MP4, M4V, AVI, MOV, WebM, WMV, F4V, and FLV.

File Voice Changer

FineShare FineVoice can not only transform users' voices in real time but also change the voice of any audio file without worrying about compatibility problems.

"We built FineVoice to meet the customers' voice needs. Everyone can easily take control of their voices without any skill required," said Billy Zane, the Co-Founder and Product Manager of FineShare Co., Ltd., "Now they can commit more time to content creation and have fun."

About FineShare Co., Ltd.

FineShare is an emerging software company dedicated to improving the user experience of virtual communications, online presentations, and real-time video. We help users unleash their creativity and build better connections & communications wherever they are.

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This news story was published by the Neotrope® News Network - all rights reserved. ID:NEO2022

Business, Education and Schools, Free News Articles, Software

Adding 60 Text-to-Speech Voices, Narakeet Enables Educators To Easily Create Video Lessons in Regional Dialects

WOKING, U.K. -- Remote and virtual learning environments are putting educators under pressure to create engaging video materials, yet few teachers have the equipment or skills to record professional audio. Adding 60 new voices, Narakeet this week enabled educators to easily create video lessons and voiceovers in 40 languages and regional dialects.

NCTQ studies found that teachers spend 45 minutes on average planning lessons. Having to record audio and edit videos puts additional pressure on already busy schedules, often requiring hours of extra work per day. Neural AI text-to-speech systems, with natural sounding voices, offer a compelling alternative to recorded audio, cutting preparation time from hours to minutes. Until recently, AI voices only represented major language variants, limiting the effectiveness of this approach. According to Statista research, accent or dialect issues are the second biggest barrier to adoption for voice technology in 2021, affecting 66% of respondents.

"Students like to hear voices that sound like them. They engage better with content in regional dialects. Using our new voices, educators can make video lessons that speak to their audience much more effectively," said Gojko Adzic, founder of Narakeet.

Narakeet is a text-to-speech video maker that turns PowerPoint slides into narrated videos. This week's update brings support for English variants including South African, Irish, Nigerian and Filipino voices; French with Swiss, Canadian and Belgian dialects; Spanish with Mexican and Puerto Rican variants and improved Brazilian Portuguese and Indian English.

"Combined with the recent addition of Swiss German and New Zealand English, Narakeet now has a rich collection of local dialects in many popular languages, and one the largest collections of neural text-to-speech generators," said Adzic. "Some of our competitors may offer a larger list of options, but they include older technology which cannot mimic human speech, and often provide the same voice with regional variants. Narakeet does not reuse voices across local variants, so each voice is unique."

According to MarketsandMarkets research, the text-to-speech market was valued at USD 2.0 billion in 2020 and is estimated to reach USD 5.0 billion by 2026, driven by the rising demand for handheld devices and increased investment in government spending on education. The COVID-19 pandemic caused a significant growth in demand for cloud-based solutions, especially important for schools as they shifted from in-person education to remote, virtual learning environments and mixed educational models.

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