Wanxiang Yousheng Launches Public Testing: The Original Team of Lazy Listen Returns, Using AIGC to Rebuild a Voice Creation Factory

The industrial upgrading from handicraft workshops to intelligent factories is quietly taking place in the audio content industry.

When AI technology profoundly influences fields such as text, images, and videos, the audio industry still seems to be waiting for its own "breakthrough moment." Facing the ongoing industry dilemma of massive online novels and published IP being "frozen" due to the high cost and low efficiency of traditional production processes, the entire audio content industry is calling for a true systemic solution.

Today, "Audimind," founded by the core team of the former leading domestic audio platform "Lanren Tingshu," has officially announced an open beta test for the entire industry after more than a year of in-depth R&D and half a year of targeted internal testing.

This is not just another simple AI voice tool, but a comprehensive audio creation platform aimed at exploring and verifying the "impossible triangle" of industry costs, efficiency, and quality control, driving the production model from "handicraft workshops" toward intelligent production.

01 Industry Dilemma: Content Supply Challenges in a Flourishing Market

China's audiobook reading market now has over 600 million users, with continuous growth in scale, yet the supply side faces multiple challenges.

On one hand, "audio-reading integration" has become mainstream, with a sharp increase in user demand for "radio drama-level" immersive experiences. On the other hand, the traditional production model struggles with three major pain points:

• High Cost: The cost of producing professional human voice recordings can reach thousands of yuan per hour, covering only a small portion of high-quality IPs.

• Low Efficiency: Disconnected toolchains and complex remote collaboration make it common for a standard project to take 30–60 days from initiation to final delivery.

• Difficulty in Quality Control: Opaque processes and manual listening are prone to errors or fatigue, making quality stability hard to ensure.

This directly results in a large number of mid-tier IP resources on platforms like Yuedu becoming difficult to monetize quickly — "reservoirs of stagnant content." Meanwhile, audio platforms like TME struggle with a lack of continuous supply of high-quality content. The market urgently needs an industrialized solution that is cost-effective, efficient, and capable of delivering near-human radio drama experiences.

02 Veterans Return: AI Reimagining a Decade of Industry Experience

Audimind's exploration is based on its team's unique industry background.

The core founding team all came from the original management team of "Lanren Tingshu," including the founder/CEO, product VP, tech VP, and content production director. They not only have over ten years of industry experience, having led the platform from scratch to being acquired by Tencent Music, but also deeply understand the actual pain points in every link of the supply chain.

The team stated that during their long-term operation of Lanren Tingshu, they felt the many constraints that traditional production processes placed on creators, such as complicated script preparation, time-consuming synchronization, chaotic collaboration, and complex payroll calculations. They believe that breakthroughs in AI large models offer the opportunity to systematize and algorithmize industry experience to solve these pain points systematically.

Therefore, this team does not bring just a simple technical overlay, but the ability to transform industry operational standards into algorithmic rules. They convert previously vague aspects of voice acting, such as breathing pauses, emotional transitions, and timing, into quantifiable and executable precise algorithms, thus building an intelligent platform rooted in industry understanding.

03 Core Engine: "Dual-track System" Solving Stock and New Demand Issues

Audimind's core exploration lies in its proposed "Dual-track Production Engine", designed to meet the dual demands of professional high-quality content and mass conversion. Users can choose between two modes based on the type of content and production requirements.

First Track: Enhancing Quality, Empowering Human Creators

For professional studios and high-quality PGC content, Audimind is a comprehensive platform that integrates the entire audio production process, aiming to solve the cross-tool and multi-platform switching problems that creators previously faced. The platform provides several core tools that are redefining the production process of audio content:

1. Smart Scripting: It intelligently divides text into chapters, extracts and normalizes characters, automatically generates character profiles, matches voice actors, and precisely marks pronunciation of rare characters, homophones, and emotions in dialogues.

2. Smart Synchronization: It can automatically cut and match hours of dry voice recordings made by voice actors using professional software to corresponding script lines, reportedly increasing traditional post-production synchronization efficiency by up to 500%.

3. Integrated Studio Workstation: A professional-grade audio workstation integrated in the browser, supporting real-time recording while viewing scripts and editing while recording, achieving seamless integration between recording and editing.

4. Smart Listening: Utilizing AI for fine-grained full-scale quality inspection, replacing traditional random sampling, aiming to achieve comprehensive coverage and control of content quality.

5. Team Collaboration: By providing visual task flows, work order systems, and automated payroll settlements, it builds a complete online collaboration ecosystem, aiming to achieve transparent project management throughout the entire workflow.

Second Track: Productivity Leap, Mass Production of IP

For the vast inventory of mid-tail IPs on online novel platforms, the platform offers a fully automatic, unattended AI multi-voice audio drama production workstation. From e-book import, intelligent chapter division, character analysis, AI performance, to post-production synthesis, everything is fully automated, aiming to quickly generate "near-radio drama" audio content at extremely low marginal costs, helping platforms rapidly fill content gaps.

Audimind provides standardized API interfaces for publishing houses, online novel platforms, short drama/manga drama institutions, etc. Through these interfaces, partners can more easily access the platform and attempt to convert massive IP resources into batch, automated audio content, thereby unlocking the commercial value of existing content.

04 Deep Engineering: Building Real Technical Barriers

Differing from general large model solutions that rely on "thousands of factories" for manual fine-tuning, Audimind has built differentiated engineering capabilities through its deep understanding of vertical scenarios:

• Collaboration Engineering: The platform fully replicates the standardized process of offline high-quality content production and aims to free creative teams from complex coordination and management through intelligent task assignment and flow mechanisms. This combination of "process standardization + workflow intelligence" forms part of its system capabilities.

• Million-Level Pronunciation Dictionary: Aimed at solving the unified pronunciation issues of numerous rare characters and homophones in xuanhuan (immortal) and xiuxian (cultivation) novels.

• Character Consistency Algorithm: Aimed at ensuring that the same character maintains consistent tone and personality features throughout a million-word long serial.

• Smart Narration Processing: Automatically identifies and removes prompts like “said” in scripts, thereby enhancing listener immersion.

• Smart Redrawing Technology: When parts of the text are modified, AI only regenerates the affected sections, reportedly reducing AI computing costs by up to 90%.

05 Business Design: Tailoring for Different Creative Paths

To address the diversity of audio content production scenarios, Audimind adopts a "SaaS (subscription) + PaaS (pay-per-use) + IaaS (infrastructure expansion)" hybrid business model, avoiding the potential exclusivity caused by a "one-size-fits-all" pricing model in the industry.

This model mainly covers three typical production scenarios and is differentiated based on the fundamental needs of different user groups:

• Pure Human Production Scenario: Target users are studios and individual creators, focusing primarily on pure human production. Most premium multi-voice audio dramas in the industry fall into this category. Users only need to subscribe to the membership, and the platform provides a complete set of collaborative tools without limits on word count or projects. Membership includes credits that can be used for AI Smart Scripting, Smart Synchronization, and AI-generated sound effects, generally requiring no additional fees.

• Pure AI Production Scenario: Target users are copyright institutions or audio platforms, completing script editing and voiceovers primarily through AI. The main production method for middle and long-tail IP multi-voice audio dramas in the market falls into this category. Creators do not need to subscribe to a membership, and instead consume credits based on actual usage. For large volumes of content, they can purchase credits at a wholesale price via the platform's "Creation Boost Packs," significantly lowering overall costs compared to industry averages.

• AI+Human Hybrid Production Scenario: Currently the most commonly used method for audiobook production in the industry, where AI creates the initial script draft, AI-generated narration is used, and human voices are used for dialogues. Audimind provides a combination of membership and boost packs/peace-of-mind packages for this scenario, allowing studios to expand the required computing power based on the number of projects within a given period, significantly reducing production costs.

From a business feasibility perspective, this model decouples subscription services, pay-per-use, and on-demand scaling, offering predictable cost structures for users with different creative habits, and providing the platform with more diverse revenue sources. The internal testing phase has confirmed that this model can initially serve diverse production scenarios and meet the needs of different user groups.

06 Internal Testing Feedback: Confirmation of Efficiency and Quality

The platform has received practical validation from over 2,000 professionals during its internal testing phase. According to publicly available internal testing data, a project that originally took 30 days to produce an audiobook can now be completed in 5–7 days with the help of the platform's tools. The efficiency gain mainly comes from integrating previously scattered tasks such as script preparation, recording, and synchronization into a single collaborative environment, along with the intelligent assistance of these tools, which reduce cross-tool communication and usage costs.

A senior voice actor who has voiced multiple popular radio dramas shared: "Previously, script preparation, recording, synchronization, and post-production were handled in different software, with very high communication costs. Now, everything is handled in one platform, and communication loss has been significantly reduced. The efficiency gain is tangible, and productivity has nearly doubled."

Lijie, founder of YueMi Culture, provided feedback from the copyright platform perspective: "Audimind's AI voice acting is already close to human level in terms of emotional expression. Combined with its smart scripting and automatic synchronization capabilities, we now have the stable ability to produce B+ level high-quality audiobooks. For our content team, the stability of this capability is more important than simply improving speed."

07 Opening Beta: Inviting the Industry to Co-Create the Future of Audio

Audimind has officially launched its public beta test after more than half a year of targeted internal testing, opening registration to content creators, voice actors, audio studios, online novel platforms, and audio platforms.

Their team stated that the platform's goal is to reduce the time spent on the creative process, allowing creators to focus more on refining the content itself. The beta test is seen as an opportunity to jointly explore and verify the platform's capabilities with industry partners. The team hopes to collect feedback and drive the audio content production industry toward greater efficiency and control together.

Beta Registration: Visit the official website  https://www.audimind.com/

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