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Wanxiang Yousheng Begins Public Testing: Original Lazy Listen Team Rebuilds Voice Factory with AIGC
A quiet transformation from artisanal workshops to intelligent factories is unfolding within the audio content industry.
While AI technology has profoundly reshaped fields like text, images, and video, the audio sector appears to be awaiting its own defining breakthrough. Confronted with the persistent industry challenge of vast online novels and published IPs lying dormant due to the high costs and low efficiency of traditional production, the entire audio content ecosystem is calling for a truly systemic solution.
Today, "Audimind," founded by the core team behind the former leading domestic audio platform "Lanren Tingshu," officially launches its open beta after over a year of intensive R&D and half a year of targeted internal testing.
This is not merely another simple AI voice tool, but a comprehensive audio creation platform. It aims to tackle the industry's "impossible triangle" of cost, efficiency, and quality control, propelling the production model from artisanal methods toward intelligent manufacturing.

01 The Industry Challenge: Content Supply in a Booming Market
China's audiobook market now boasts over 600 million users and continues to grow, yet the supply side faces multiple hurdles.
On one hand, "audio-reading integration" is now mainstream, with user demand for immersive, "radio-drama-level" experiences soaring. On the other, the traditional production model grapples with three major pain points:
•High Cost: Professional human voice recording can cost thousands of yuan per hour, limiting it to a small fraction of premium IPs.
•Low Efficiency: Disconnected tools and complex remote collaboration mean a standard project often takes 30–60 days from start to finish.
•Inconsistent Quality: Opaque processes and manual quality checks are prone to errors and fatigue, making stable quality difficult to guarantee.
This directly results in a vast reservoir of mid-tier IPs on platforms like Yuedu becoming difficult to monetize quickly. Meanwhile, audio platforms such as TME struggle with a lack of consistent, high-quality content. The market urgently needs an industrialized solution that is cost-effective, highly efficient, and capable of delivering near-human radio drama experiences.
02 Veterans Return: Reimagining a Decade of Experience with AI
Audimind's approach is built on its team's unique industry pedigree.
The core founding team are all former members of the original "Lanren Tingshu" management, including the founder/CEO, product VP, tech VP, and content production director. With over a decade of experience, they guided the platform from inception to its acquisition by Tencent Music, giving them deep, firsthand knowledge of supply chain pain points.
The team states that operating Lanren Tingshu revealed the constraints traditional processes place on creators: complicated script prep, time-consuming synchronization, chaotic collaboration, and complex payroll calculations. They believe breakthroughs in AI large models present an opportunity to systematize this hard-won experience into algorithmic solutions.
Thus, the team brings not just a technical overlay, but the ability to translate industry operational standards into algorithmic rules. They have quantified previously subjective aspects of voice performance—like breath pauses, emotional shifts, and timing—into precise, executable algorithms, building an intelligent platform rooted in genuine industry insight.
03 Core Engine: A "Dual-Track System" for Stock and New Content
Audimind's key innovation is its proposed "Dual-Track Production Engine," designed to meet both professional high-quality content needs and mass conversion demands. Users can select the mode that fits their content type and production goals.
Track One: Enhancing Quality, Empowering Human Creators
For professional studios and high-quality PGC content, Audimind is an all-in-one platform integrating the entire audio workflow. It solves the problem of juggling multiple, disconnected tools. The platform offers several core tools redefining audio production:
1.Smart Scripting: Automatically divides text into chapters, extracts and normalizes characters, generates character profiles, matches voice actors, and precisely annotates pronunciation for rare words, homophones, and dialogue emotions.
2.Smart Synchronization: Automatically aligns hours of raw voice recordings from professional software with the corresponding script lines, reportedly boosting traditional post-production sync efficiency by up to 500%.
3.Integrated Browser Workstation: A professional-grade audio workstation within the browser, enabling real-time recording with script view and edit-while-you-record functionality for seamless integration of recording and editing.
4.Smart Listening: Uses AI for granular, full-scale quality inspection, replacing traditional random sampling to achieve comprehensive quality control.
5.Team Collaboration: Features visual task flows, work order systems, and automated payroll结算 to build a complete online collaboration ecosystem, ensuring transparent project management throughout the workflow.

Track Two: A Productivity Leap for Mass IP Production
For the massive inventory of mid- and long-tail IPs on web novel platforms, the platform provides a fully automated, unattended AI multi-voice audio drama workstation. From ebook import and smart chaptering to character analysis, AI performance, and final synthesis, the entire process is automated. This aims to generate "near-radio-drama" audio content at extremely low marginal cost, helping platforms rapidly fill content gaps.
Audimind offers standardized APIs for publishers, web novel platforms, and short-drama agencies. Partners can use these to easily integrate and attempt batch, automated conversion of massive IP libraries into audio, unlocking the commercial potential of dormant content.

04 Deep Engineering: Building Tangible Technical Barriers
Diverging from generic large-model solutions reliant on manual fine-tuning, Audimind builds differentiated engineering capabilities from its deep vertical expertise:
•Collaboration Engineering: The platform replicates the standardized offline production process for high-quality content, using intelligent task assignment and workflows to free creative teams from complex coordination. This blend of "process standardization + workflow intelligence" forms a core system capability.
•Million-Entry Pronunciation Dictionary: Solves unified pronunciation for the myriad rare characters and homophones found in xianxia and xuanhuan novels.
•Character Consistency Algorithm: Ensures a character's tone and personality remain consistent across million-word serials.
•Smart Narration Processing: Automatically identifies and removes dialogue tags like "said" from scripts to enhance listener immersion.
•Smart Redraw Technology: When text is modified, AI regenerates only the affected sections, reportedly reducing AI compute costs by up to 90%.
05 Business Design: Tailored for Different Creative Paths
To address diverse production scenarios, Audimind adopts a hybrid "SaaS (subscription) + PaaS (pay-per-use) + IaaS (infrastructure scaling)" model, avoiding the potential lock-in of one-size-fits-all pricing.
This model primarily serves three typical production scenarios, differentiated by user needs:
•Pure Human Production: Targets studios and individual creators focused on human voicework, common for premium multi-voice dramas. A subscription provides full collaborative tool access without word or project limits, including credits for AI Smart Scripting, Smart Sync, and AI sound effects, typically with no extra fees.
•Pure AI Production: Targets copyright holders or audio platforms producing primarily via AI, common for mid/long-tail IP multi-voice dramas. No subscription is needed; users pay per use with credits. High-volume creators can purchase "Creation Boost Packs" for wholesale rates, significantly lowering costs versus industry averages.
•AI+Human Hybrid Production: The industry's most common method for audiobooks, where AI drafts scripts and handles narration, while humans voice dialogues. Audimind offers a mix of subscription and boost/peace-of-mind packs, allowing studios to scale computing power per project, drastically cutting production costs.
From a business standpoint, this model decouples subscriptions, usage fees, and on-demand scaling. It provides predictable cost structures for users with different workflows and diversifies the platform's revenue. Internal testing confirms this model can effectively serve diverse scenarios and user groups.
06 Internal Testing Feedback: Efficiency and Quality Validated
The platform has been practically validated by over 2,000 professionals during internal testing. Available data indicates a project that once took 30 days for an audiobook can now be completed in 5–7 days using the platform's tools. Gains come from consolidating previously scattered tasks (scripting, recording, sync) into one collaborative environment, with intelligent tools reducing cross-tool communication and usage overhead.
A senior voice actor for popular radio dramas shared: "Before, we used different software for scripting, recording, sync, and post-production, with high communication costs. Now, everything is on one platform, communication loss is drastically reduced, efficiency is tangibly higher, and productivity has nearly doubled."
Lijie, founder of YueMi Culture, provided a copyright platform perspective: "Audimind's AI voice acting is nearing human levels in emotional expression. Combined with its smart scripting and auto-sync, we now have stable capacity to produce B+ level high-quality audiobooks. For our content team, this capability's stability is more crucial than sheer speed."
07 Open Beta: Inviting the Industry to Co-Create Audio's Future
Following over half a year of targeted internal testing, Audimind is now launching its public beta, open for registration to content creators, voice actors, studios, web novel platforms, and audio platforms.
The team states the platform's goal is to reduce time spent on process, allowing creators to focus on content refinement. The beta is an opportunity to explore and validate the platform's capabilities with industry partners. The team hopes to gather feedback and collectively steer audio content production toward greater efficiency and control.
Beta Registration: Visit the official website https://www.audimind.com/
About Audimind:
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A quiet transformation from artisanal workshops to intelligent factories is unfolding within the audio content industry.
While AI technology has profoundly reshaped fields like text, images, and video, the audio sector appears to be awaiting its own defining breakthrough. Confronted with the persistent industry challenge of vast online novels and published IPs lying dormant due to the high costs and low efficiency of traditional production, the entire audio content ecosystem is calling for a truly systemic solution.
Today, "Audimind," founded by the core team behind the former leading domestic audio platform "Lanren Tingshu," officially launches its open beta after over a year of intensive R&D and half a year of targeted internal testing.
This is not merely another simple AI voice tool, but a comprehensive audio creation platform. It aims to tackle the industry's "impossible triangle" of cost, efficiency, and quality control, propelling the production model from artisanal methods toward intelligent manufacturing.

01 The Industry Challenge: Content Supply in a Booming Market
China's audiobook market now boasts over 600 million users and continues to grow, yet the supply side faces multiple hurdles.
On one hand, "audio-reading integration" is now mainstream, with user demand for immersive, "radio-drama-level" experiences soaring. On the other, the traditional production model grapples with three major pain points:
•High Cost: Professional human voice recording can cost thousands of yuan per hour, limiting it to a small fraction of premium IPs.
•Low Efficiency: Disconnected tools and complex remote collaboration mean a standard project often takes 30–60 days from start to finish.
•Inconsistent Quality: Opaque processes and manual quality checks are prone to errors and fatigue, making stable quality difficult to guarantee.
This directly results in a vast reservoir of mid-tier IPs on platforms like Yuedu becoming difficult to monetize quickly. Meanwhile, audio platforms such as TME struggle with a lack of consistent, high-quality content. The market urgently needs an industrialized solution that is cost-effective, highly efficient, and capable of delivering near-human radio drama experiences.
02 Veterans Return: Reimagining a Decade of Experience with AI
Audimind's approach is built on its team's unique industry pedigree.
The core founding team are all former members of the original "Lanren Tingshu" management, including the founder/CEO, product VP, tech VP, and content production director. With over a decade of experience, they guided the platform from inception to its acquisition by Tencent Music, giving them deep, firsthand knowledge of supply chain pain points.
The team states that operating Lanren Tingshu revealed the constraints traditional processes place on creators: complicated script prep, time-consuming synchronization, chaotic collaboration, and complex payroll calculations. They believe breakthroughs in AI large models present an opportunity to systematize this hard-won experience into algorithmic solutions.
Thus, the team brings not just a technical overlay, but the ability to translate industry operational standards into algorithmic rules. They have quantified previously subjective aspects of voice performance—like breath pauses, emotional shifts, and timing—into precise, executable algorithms, building an intelligent platform rooted in genuine industry insight.
03 Core Engine: A "Dual-Track System" for Stock and New Content
Audimind's key innovation is its proposed "Dual-Track Production Engine," designed to meet both professional high-quality content needs and mass conversion demands. Users can select the mode that fits their content type and production goals.
Track One: Enhancing Quality, Empowering Human Creators
For professional studios and high-quality PGC content, Audimind is an all-in-one platform integrating the entire audio workflow. It solves the problem of juggling multiple, disconnected tools. The platform offers several core tools redefining audio production:
1.Smart Scripting: Automatically divides text into chapters, extracts and normalizes characters, generates character profiles, matches voice actors, and precisely annotates pronunciation for rare words, homophones, and dialogue emotions.
2.Smart Synchronization: Automatically aligns hours of raw voice recordings from professional software with the corresponding script lines, reportedly boosting traditional post-production sync efficiency by up to 500%.
3.Integrated Browser Workstation: A professional-grade audio workstation within the browser, enabling real-time recording with script view and edit-while-you-record functionality for seamless integration of recording and editing.
4.Smart Listening: Uses AI for granular, full-scale quality inspection, replacing traditional random sampling to achieve comprehensive quality control.
5.Team Collaboration: Features visual task flows, work order systems, and automated payroll结算 to build a complete online collaboration ecosystem, ensuring transparent project management throughout the workflow.

Track Two: A Productivity Leap for Mass IP Production
For the massive inventory of mid- and long-tail IPs on web novel platforms, the platform provides a fully automated, unattended AI multi-voice audio drama workstation. From ebook import and smart chaptering to character analysis, AI performance, and final synthesis, the entire process is automated. This aims to generate "near-radio-drama" audio content at extremely low marginal cost, helping platforms rapidly fill content gaps.
Audimind offers standardized APIs for publishers, web novel platforms, and short-drama agencies. Partners can use these to easily integrate and attempt batch, automated conversion of massive IP libraries into audio, unlocking the commercial potential of dormant content.

04 Deep Engineering: Building Tangible Technical Barriers
Diverging from generic large-model solutions reliant on manual fine-tuning, Audimind builds differentiated engineering capabilities from its deep vertical expertise:
•Collaboration Engineering: The platform replicates the standardized offline production process for high-quality content, using intelligent task assignment and workflows to free creative teams from complex coordination. This blend of "process standardization + workflow intelligence" forms a core system capability.
•Million-Entry Pronunciation Dictionary: Solves unified pronunciation for the myriad rare characters and homophones found in xianxia and xuanhuan novels.
•Character Consistency Algorithm: Ensures a character's tone and personality remain consistent across million-word serials.
•Smart Narration Processing: Automatically identifies and removes dialogue tags like "said" from scripts to enhance listener immersion.
•Smart Redraw Technology: When text is modified, AI regenerates only the affected sections, reportedly reducing AI compute costs by up to 90%.
05 Business Design: Tailored for Different Creative Paths
To address diverse production scenarios, Audimind adopts a hybrid "SaaS (subscription) + PaaS (pay-per-use) + IaaS (infrastructure scaling)" model, avoiding the potential lock-in of one-size-fits-all pricing.
This model primarily serves three typical production scenarios, differentiated by user needs:
•Pure Human Production: Targets studios and individual creators focused on human voicework, common for premium multi-voice dramas. A subscription provides full collaborative tool access without word or project limits, including credits for AI Smart Scripting, Smart Sync, and AI sound effects, typically with no extra fees.
•Pure AI Production: Targets copyright holders or audio platforms producing primarily via AI, common for mid/long-tail IP multi-voice dramas. No subscription is needed; users pay per use with credits. High-volume creators can purchase "Creation Boost Packs" for wholesale rates, significantly lowering costs versus industry averages.
•AI+Human Hybrid Production: The industry's most common method for audiobooks, where AI drafts scripts and handles narration, while humans voice dialogues. Audimind offers a mix of subscription and boost/peace-of-mind packs, allowing studios to scale computing power per project, drastically cutting production costs.
From a business standpoint, this model decouples subscriptions, usage fees, and on-demand scaling. It provides predictable cost structures for users with different workflows and diversifies the platform's revenue. Internal testing confirms this model can effectively serve diverse scenarios and user groups.
06 Internal Testing Feedback: Efficiency and Quality Validated
The platform has been practically validated by over 2,000 professionals during internal testing. Available data indicates a project that once took 30 days for an audiobook can now be completed in 5–7 days using the platform's tools. Gains come from consolidating previously scattered tasks (scripting, recording, sync) into one collaborative environment, with intelligent tools reducing cross-tool communication and usage overhead.
A senior voice actor for popular radio dramas shared: "Before, we used different software for scripting, recording, sync, and post-production, with high communication costs. Now, everything is on one platform, communication loss is drastically reduced, efficiency is tangibly higher, and productivity has nearly doubled."
Lijie, founder of YueMi Culture, provided a copyright platform perspective: "Audimind's AI voice acting is nearing human levels in emotional expression. Combined with its smart scripting and auto-sync, we now have stable capacity to produce B+ level high-quality audiobooks. For our content team, this capability's stability is more crucial than sheer speed."
07 Open Beta: Inviting the Industry to Co-Create Audio's Future
Following over half a year of targeted internal testing, Audimind is now launching its public beta, open for registration to content creators, voice actors, studios, web novel platforms, and audio platforms.
The team states the platform's goal is to reduce time spent on process, allowing creators to focus on content refinement. The beta is an opportunity to explore and validate the platform's capabilities with industry partners. The team hopes to gather feedback and collectively steer audio content production toward greater efficiency and control.
Beta Registration: Visit the official website https://www.audimind.com/
About Audimind:
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