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PDF」查看实际发出的内容。","usage_detail_live_hint","此激活周期截至 {time} 的实时用量——将在下一周期发票对账,本票不计费。","preview_pdf","预览 PDF","preview_pdf_error","加载 PDF 预览失败","preview_dialog_title_mercury","发票 {number} —— Mercury PDF（客户所见原件）","preview_dialog_title_system","发票 {number} —— 系统 PDF（同步前视图）","overdue_badge","qbo_ledger_title","QuickBooks 台账","qbo_ledger_bound","QBO 发票 #{number} · id {id}","qbo_ledger_none","未绑定 QuickBooks 记录。","qbo_ledger_pending_hint","QBO 镜像将在 Mercury 发送时创建。","unmark_sent","回退为草稿","unmark_sent_hint","把这张已发送发票退回可编辑草稿(无任何远端副本)。","unmark_sent_confirm","确认退回草稿?金额保留;客户完成配对后可经 Mercury 发出。","unmark_sent_toast","发票已退回草稿","unmark_sent_error","退回草稿失败","pairing_required_hint","客户尚未配对 Mercury AR 记录——完成配对后才能发送。","pairing_blocked_title","Mercury 发送被阻止——客户未配对","pairing_blocked_description","该客户尚未确认 Mercury AR 配对。请先确认或创建配对;发票将送达 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角色制作提供角色级表现力。",{"_13406":13407,"_13408":13409,"_13410":13411,"_13412":13413,"_81":10782,"_13414":13415},{"_5180":13403,"_5221":13404,"_25":13405},"0","漂移","覆盖数小时长篇角色内容，实现零漂移音频可靠性，维持日本 AI 角色 IP 所需的沉浸感。","industry","媒体与娱乐","region","日本","useCase","AI 角色语音制作","voiceStack","Picto VOICE 中的组件","readingTime","3 分钟","面向 AI 视频的声音克隆，较替代方案以 3:1 胜出。","HeyGen 如何从 ElevenLabs 迁移到 Fish Audio，以解决非美式英语口音下的声音相似度问题，并在并排对比中看到用户以三比一选择 Fish。",{"_13406":13423,"_13408":13424,"_13410":13425,"_13426":5562,"_5330":13427,"_13414":13428},{"_5180":13420,"_5221":13421,"_25":13422},"3:1","×","在 HeyGen 的并排用户对比中，Fish Audio 相较其他 TTS 提供商获得的选择率。","AI 视频 / 创作者工具","全球","AI 视频声音克隆","migratedFrom","云 API","4 分钟","面向 1000 万用户的实时语音 agent TTS。","Dubbing AI 如何基于 Fish Audio 构建 Voice Agent：这是唯一同时满足实时 agent 所需五项能力的 TTS，包括自然度、情绪深度、声音克隆质量、低延迟和多语言支持。",{"_13406":13435,"_13408":13424,"_13410":13436,"_13437":5306,"_5330":13438,"_222":13439},{"_5180":13433,"_5221":5222,"_25":13434},"10M","覆盖游戏、直播和娱乐等场景，这是语音 agent 必须在用户语言中实时保持真实感的规模。","消费级 · 游戏 · 娱乐","语音 agent（实时 TTS）","audience","云 API · 桌面端与移动端","Voice Agent 测试版",{"_13490":5150,"_13491":13492},{"_5291":13442,"_5287":13443,"_5289":13444},{"_780":13482,"_5110":13483},{"_780":13474,"_5110":13475},{"_780":13445,"_5112":13446,"_5110":13447},{"_23":13472,"_25":13473},{"_23":13452,"_5317":13453},{"_23":13448,"_25":13449},{"_5296":13450,"_5298":13451,"_5300":227},"和我们的团队聊聊角色语音、韵律控制，以及接入 Picto VOICE 这类多供应商语音栈的方案。我们会带着准备来聊。","正在构建日语\n","语音产品？","常见问题。",{"_13454":13455,"_13456":13457,"_5105":13458,"_39":13459,"_13460":13461},"good",{"_5131":13470,"_5133":13471},"prosody",{"_5131":13468,"_5133":13469},{"_5131":13466,"_5133":13467},{"_5131":13464,"_5133":13465},"compare",{"_5131":13462,"_5133":13463},"Fish Audio 与 ElevenLabs 在日语角色语音上相比如何？","两家公司都支持日语。Fish Audio 更强调原生日语训练，并提供开放域的自然语言情感控制，而不是固定的情感预设；这也是 Pictoria 团队在评估中指出的差异。","Fish Audio 还支持哪些亚洲语言？","除日语外，Fish 还支持普通话、粤语、韩语，并支持英语、普通话、日语、西班牙语和阿拉伯语等 80 多种语言之间的 code-switching。","Fish Audio 支持多供应商语音技术栈吗？","支持。Fish 的设计目标就是接入 Pictoria 的 Picto VOICE 这类客户自建编排层，并与其它语音技术协同工作。标准接入方式是 API；对于有合规要求的客户，也可以提供本地化部署。","Fish Audio 能处理日语韵律和情感表现力吗？","Fish Audio 的 S2 Pro 模型以原生日语优先进行训练，并支持开放域情感控制：可以在单句级别用自然语言指定情感方向，这正是 Pictoria 认为决定角色语音效果的关键层。","优秀的日语 AI 角色 TTS 需要什么？","日语角色 TTS 与通用日语 TTS 的差异主要有三点：单句内的情感表现力、准确的日语韵律和音高重音，而不只是音素准确，以及长篇角色内容中的声音一致性。Pictoria 的 Picto VOICE 会基于这些标准为每个角色选择语音技术，而 Fish Audio 凭借角色级的表现力入选其中。","Pictoria 与 Fish Audio 面向日语 AI 角色语音的下一步。","随着 Pictoria 继续扩展自有 AI 角色 IP，并且 Picto VOICE 技术栈持续演进，Fish Audio 仍将作为日语角色语音场景中的合作伙伴。日本 AI 角色市场正在增长，每次发布都会带来更高期待，角色语音质量的标准也会随着每个新作品继续提升。",{"_23":13480,"_25":13481},{"_23":13476,"_25":13477},{"_5296":13478,"_5298":12671,"_5300":13479},"和我们的团队聊聊独特声音的相似度、非美式英语口音保留，以及生产规模的 Cloud API 集成。","正在构建","产品？","HeyGen 与 Fish Audio 的下一步。","随着 HeyGen 持续拓展全球知识创作者群体，Fish Audio 将继续作为 AI 视频背后的语音质量层。新的口音覆盖、新语言和新的语音克隆能力，会伴随 HeyGen 的国际化规模一起上线。",{"_23":13488,"_25":13489},{"_23":13484,"_25":13485},{"_5296":13478,"_5298":13486,"_5300":13487},"和我们的团队聊聊实时 TTS：在自然度、情感深度、延迟和多语言支持之间取得语音 agent 所需的五维平衡。","语音 agent","？","Dubbing AI 与 Fish Audio 的下一步。","随着 Voice Agent 从 beta 走向面向 Dubbing AI 1000 万用户的全面可用，Fish Audio 将继续作为驱动这一体验的实时 TTS 层。未来 Voice Agent 的扩展（覆盖更多语言、更多场景和更多跨平台环境）将与 Fish 持续的模型改进同步上线。","primary","secondary","查看 Fish 企业版","challenge",{"_23":13550,"_8650":13551},{"_23":13546,"_8650":13547},{"_23":13529,"_8650":13530},{"_23":13523,"_8650":13524},"reception",{"_23":13509,"_13510":13511,"_5317":13512},"outcomes",{"_23":13502,"_11484":13503,"_5238":13504},"集成成果。","使用产品：Fish Audio S2 Pro · 文本转语音",{"_13505":13506,"_13498":13507,"_8713":13508},"improvements","Picto VOICE 中的日语响应速度和情感表现力获得了有意义的提升。","Pictoria 原创 AI 角色 IP 获得了强烈的正向反馈。","在日语角色语音前沿持续协作；量化指标因 IP 协议保持保密。","由 Fish Audio 驱动的日语 AI 角色语音的受众反馈。","intro","通过 Picto VOICE 生成的日语 AI 角色语音，在用户反馈中呈现出三个稳定的积极主题：",{"_13079":13513,"_13514":13515,"_56":13516},{"_23":13521,"_25":13522},"accent",{"_23":13519,"_25":13520},{"_23":13517,"_25":13518},"长篇角色内容中的一致性","同一个声音、同一个角色，能在数小时内容中保持稳定，而不是在不同会话间漂移。","让角色鲜活起来的情感表现力","角色拥有真实的情绪层次，而不是把台词读出来。对于角色驱动内容，这是决定性的差异。","超越 TTS 感的自然度","日语声音听起来像真正的日语声音，而不是通用 TTS 常见的合成式扁平感。","Pictoria 如何使用 Fish Audio 生产日语 AI 角色语音。",{"_13525":13526,"_13527":13528},"first","在 Picto VOICE 中，Fish Audio 尤其用于角色级表现力是决定因素的 AI 角色场景。一个代表性部署是 Pictoria 面向原创 AI 角色 IP 的语音生产流水线，这些 IP 由公司内部开发并在自有发布渠道运营。","second","将 Fish Audio 集成到 Picto VOICE 后，这些 AI 角色项目在效果和用户反馈上都产生了明显积极影响。","为什么 Fish Audio 获得了 Picto VOICE 的采用。",{"_13510":13531,"_13532":13533,"_13534":13535,"_13536":13537,"_13538":13539},"Pictoria 将 Fish Audio 作为 Picto VOICE 候选语音生成技术之一进行评估。团队被三点吸引：","expressiveRange",{"_23":13544,"_25":13545},"japaneseQuality",{"_23":13542,"_25":13543},"flexibility",{"_23":13540,"_25":13541},"partnership","除模型本身外，Fish Audio 团队对日语 AI 角色语音需求的响应速度也很突出。这种合作让供应商关系变成了与模型背后研究团队的真实协作。","角色声音设计的灵活性","，能够根据具体角色设定塑造声音，而不是只能从固定音色库里选择。","富有表现力的日语 TTS 质量","，体现在韵律和语调层面，而不只是音素准确。","角色式声音的表现范围","，尤其是能在单句中承载细腻情绪的能力。这是角色语音区别于旁白的关键。","Picto VOICE 内部：Pictoria 的多供应商日语 TTS 技术栈。",{"_13525":13548,"_13527":13549},"Pictoria 没有把整个角色语音面交给单一供应商，而是将 Picto VOICE 打造成一个内部编排层，整合多种日语语音 AI 技术。每个角色和使用场景都会从技术栈中选择最合适的语音生成组件。","这种架构帮助 Pictoria 避免供应商锁定，让团队能够持续评估新的日语语音 AI 模型，并确保对具体角色、具体场景、具体情绪表达而言最合适的技术始终进入生产。Fish Audio 与团队集成的其他语音技术一起，获得了 Picto VOICE 中的一席之地。","日本 AI 角色语音的挑战：韵律、情感与一致性。",{"_13525":13552,"_13527":13553},"日本 AI 角色语音有一道大多数 TTS 模型跨不过去的门槛。自然度和发音准确只是基础；真正决定体验的是单句中的情感表现力、准确的日语韵律与高低音重音，以及长篇角色内容中的声音一致性。",{"_5296":13554,"_5298":13555,"_5300":13556},"通用 TTS 朗读可以通过基准测试，却会打破 AI 角色体验依赖的真实感。对 Pictoria 来说，现有日语 AI 角色 TTS 长期存在的两个缺口是","角色层面的情感表现力与自然日语韵律","，这两点对公司不断增长的原创 AI 角色 IP 阵容都至关重要。","problem",{"_23":13603,"_8650":13604},"evaluation",{"_23":13597,"_8650":13598},{"_23":13587,"_8650":13588},{"_23":13585,"_8650":13586},{"_23":13573,"_13510":13574,"_5317":13575},{"_23":13565,"_11484":13566,"_5238":13567},"集成带来的结果。","使用产品：Fish Audio S2 Pro · 文本转语音（云 API）",{"_13079":13568,"_13569":13570,"_13559":13571,"_5129":13572},"在 HeyGen 并排对比中，Fish Audio 相比其它 TTS 供应商获得 3:1 用户选择率。","complaints","HeyGen 国际创作者群体中的非美式英语口音投诉已经停止。","在选择 Fish Audio 前评估了整个 TTS 市场，口音保持是决定因素。","为了声音克隆质量，从 ElevenLabs 迁移到 Fish Audio。","知识型创作者如何评价声音质量。","最有说服力的用户信号不是赞美，而是曾经最响亮的投诉消失了。迁移之后，HeyGen 创作者群体出现了三个信号：",{"_13079":13576,"_13514":13577,"_56":13578},{"_23":13583,"_25":13584},{"_23":13581,"_25":13582},{"_23":13579,"_25":13580},"正向声音质量反馈","HeyGen 国际知识型创作者群体的声音克隆质量，已经追上观众原本熟悉的声音。","情感深度：口音投诉停止","拥有非美式英语口音的创作者不再投诉口音保持问题，这曾是迁移前最突出的工单。","3:1 选择率","在 HeyGen 的并排声音测试中，创作者为自己的视频选择 Fish 的频率是替代方案的三倍。","HeyGen 如何使用 Fish Audio 云 API 生成 AI 视频声音。","HeyGen 通过云 API 部署 Fish Audio，为客户在平台上生成的视频提供 TTS。该集成已经达到生产规模：知识型创作者通过 HeyGen 发布的每一支使用 Fish 声音的视频，都会经过 Fish 的 S2 Pro 模型。","为什么 HeyGen 选择 Fish Audio 来提升声音克隆质量。",{"_13525":13589,"_13527":13590},{"_5296":13594,"_5298":13595,"_5300":13596},{"_5296":13591,"_5298":13592,"_5300":13593},"对 HeyGen 来说，这不是技术细节，而是知识创作者的观众听到熟悉的本人，还是听到一个合成陌生人的区别。","声音克隆质量，","而不是延迟或成本，成为最终决定因素。","Fish Audio 之所以被 HeyGen 选中，最关键的标准是：","独特声音的声音克隆质量，尤其是非美式英语口音声音的克隆质量。","Fish S2 Pro 模型会保留源声音的口音身份，而不是把它归一化到美式英语基线，这正是 HeyGen 在其它供应商测试中发现的失败模式。","为什么 HeyGen 为口音保持评估整个 TTS 市场。",{"_13525":13599,"_13527":13600},"HeyGen 评估了整个 TTS 市场，以解决非美式英语口音问题。面向非美式英语口音的 TTS 不是功能对比，而是 HeyGen 国际创作者基础的生存级评估标准。",{"_5296":13601,"_5298":13602,"_5300":5310},"在测试过的供应商中，美式英语声音克隆质量与非美式英语声音克隆质量之间的差距始终存在，而且方向并不理想。多数 TTS 模型先以美式英语训练，再适配其它口音。这种适配最终表现为克隆声音中的 ","韵律被压平、元音被中和，以及明显的口音身份流失 ","ElevenLabs 在非美式英语口音上的声音克隆问题。",{"_13525":13605,"_13527":13606,"_13607":13608},{"_5296":13609,"_5298":13610,"_5300":227},"知识型创作者会带着自己的口音说话。澳大利亚创作者听起来就应该像澳大利亚人，印度创作者听起来就应该像印度人。英式、南非、新加坡、爱尔兰、苏格兰、菲律宾、加勒比等全球英语口音版图，对 HeyGen 来说不是边缘情况，而是国际创作者群体的真实形态。","third","如果一个 TTS 能做好美式英语，却把其它口音都压平成接近中性美式英语的声音，就会破坏 AI 视频声音克隆的核心承诺：视频里的声音应该像你。HeyGen 的非美式英语口音用户一直在反馈口音保持问题；克隆声音没有保留创作者期望的口音身份。","在评估 Fish Audio 之前，HeyGen 使用 ElevenLabs 作为 AI 视频生成流程中的 TTS 层。平台可以运行，声音也清晰可懂。但用户反馈中持续出现一个结构性问题：","声音相似度不足，尤其影响拥有非美式英语口音的创作者。",{"_23":13662,"_8650":13663},{"_23":13656,"_8650":13657},{"_23":13649,"_8650":13650},"criteria",{"_23":13631,"_13510":13632,"_5317":13633},{"_23":13624,"_8650":13625},{"_23":13565,"_11484":13566,"_5238":13618},{"_13619":13620,"_13614":13621,"_11510":13622,"_5330":13623},"users","Dubbing AI 更广泛平台上拥有 1000 万+ 用户，覆盖游戏、直播和商业创作者。","Fish Audio 满足 5/5 项评估标准：自然度、情绪深度、克隆质量、低延迟、多语言。","Voice Agent beta 将首先面向游戏玩家用户发布，内部测试结果积极。","跨平台部署在桌面端和移动端，与 Dubbing AI 的完整产品覆盖保持一致。","Dubbing AI 如何将 Fish Audio 用于实时语音 agent TTS。",{"_13525":13626,"_13527":13627},"Dubbing AI 通过云 API 在 Voice Agent 功能中部署 Fish Audio，用于实时文本转语音生成。当用户输入希望 Voice Agent 说出的文本时，Fish 会实时将其转换为自然且富有情绪表达的语音输出，并覆盖 Dubbing AI 全球用户所需的语言和口音。",{"_5296":13628,"_5298":13629,"_5300":13630},"Voice Agent 同时运行在桌面端和移动端，覆盖范围与 Dubbing AI 平台其它功能一致。","Voice Agent 正准备首先面向平台的游戏玩家用户发布 beta 版本 ","—— 这是对 Voice Agent 使用场景需求最强的用户群。进入 beta 前，内部测试结果非常积极。","为什么 Fish Audio 赢得 Voice Agent 评估 —— 五项标准全部满足。","Fish Audio 的突出之处，是提供了 Dubbing AI 在其它方案中找不到的组合：实时语音 agent 所需的五项能力都达到要求。其它供应商即使在单项标准上表现突出，也会因为不适配 Voice Agent 场景而被排除。Fish 是唯一在每个评估维度上都站得住的模型。",{"_13634":13635,"_5573":13636,"_5264":13637,"_5215":13638,"_5612":13639},"naturalness",{"_23":13647,"_25":13648},{"_23":13645,"_25":13646},{"_23":13643,"_25":13644},{"_23":13641,"_25":13642},{"_23":6153,"_25":13640},"支持 80 多种语言和自然代码切换，是面向全球用户 Voice Agent 的必要能力。","低延迟","没有明显处理等待的实时响应，这是任何对话式 agent 的基础约束。","声音克隆质量","克隆声音能够在不同内容中保持身份一致性，这对 Dubbing AI 的创作者和娱乐用户尤其重要。","情绪深度","情绪层次能够贯穿整段表达，而这正是多数低延迟模型会被压平的部分。","自然度","输出语音听起来像真人在说话，而不是合成器在朗读。","为什么 Dubbing AI 为语音 agent 基础设施评估 TTS 市场。",{"_13525":13651,"_13527":13652},{"_5296":13653,"_5298":13654,"_5300":13655},"对于一个服务 1000 万用户、覆盖游戏、娱乐和商业使用场景的 Voice Agent 来说，如果模型自然度很强但多语言能力不足，就会被淘汰；如果模型延迟优秀但压平了情绪，也会被淘汰。Voice Agent 这个场景要求五项能力缺一不可。","在选定 Fish Audio 之前，Dubbing AI 评估了多种 TTS 音频工作流。评估标准直接对应语音 agent TTS 的结构性要求：","自然度、情绪深度、声音克隆质量、低延迟和多语言支持 ","—— 这五项能力多数供应商只能做到其中两三项，很少能全部满足。","语音 agent 实时 TTS 的挑战：延迟与自然度。",{"_13525":13658,"_13527":13659},{"_5296":13660,"_5298":13661,"_5300":227},"对 Dubbing AI Voice Agent 来说，两者同样关键。Voice Agent 如果在用户输入和语音回复之间出现明显停顿，就会打破“对方正在和真人说话”的错觉。Voice Agent 如果响应很快但声音像机器人，也会从另一个方向打破同样的错觉。决定性因素不是其中任意一个，而是二者的组合。","语音 agent 让语音 AI 最难的取舍变得非常明显。面向语音 agent 的实时 TTS 必须在延迟、自然度和情绪之间取得平衡，而多数供应商都会迫使产品做选择。","低延迟模型往往听起来平淡、机械；富有表现力的模型又容易带来处理延迟，打断对话流。","推出 Voice Agent —— 一个替你说话的 agent。",{"_13525":13664,"_13527":13665,"_13607":13666,"_13667":13668},"Dubbing AI 最新功能 Voice Agent，将平台的语音工具箱从变声扩展到代替用户发声。它不再只是改变用户自己的声音，而是由 Voice Agent 替用户说话。","这些使用场景直接而真实。当游戏玩家正在争论中又不想升级冲突时，Voice Agent 可以替他们表达。当某个人太累而不想打电话订位时，Voice Agent 可以完成通话。当用户害羞、忙于工作，或暂时无法沟通时，Voice Agent 能让他们实时与他人互动。",{"_5296":13669,"_5298":13670,"_5300":13671},"fourth","要让 Voice Agent 真正有效，AI 的声音必须听起来真实。听到声音的一方，无论是游戏对手、餐厅接待员，还是电话另一端的人，都应该感觉自己正在和真人对话，而不是听到明显的合成语音。这正是 Fish Audio 发挥作用的地方。","这延续了 Dubbing AI 在平台所有功能中的产品使命，包括变声、口音优化、实时翻译，以及现在的 Voice Agent：","帮助人们更顺畅地沟通，并更有效地表达自己。","Voice Agent 将这一使命延伸到用户无法亲自开口，或亲自开口并不理想的场景中。",{"_5291":13673,"_5287":13674,"_5289":13675},{"_23":13687,"_8650":13688},{"_23":13683,"_8650":13684},{"_23":13676,"_8650":13677},"关于 Pictoria — 面向日本市场的 AI 角色与原创 IP。",{"_13525":13678,"_13527":13679},{"_5296":13680,"_5298":13681,"_5300":13682},"声音不是 AI 角色体验中的一个功能。对于 Pictoria 来说，声音本身就是 AI 角色体验。","Pictoria 是一家日本 AI 角色公司，既打造由声优参与的 AI 角色项目，也开发自有原创 AI 角色 IP。每一次 Pictoria 制作的核心都是 ","Picto VOICE ","—— 一套内部语音系统，结合多种日语 TTS 技术，并为每个角色选择最合适的方案。","关于 HeyGen — 面向知识型创作者的 AI 视频。",{"_13525":13685,"_13527":13686},"HeyGen 是领先的 AI 视频平台，服务于知识型创作者，包括教育者、课程构建者、商业沟通者，以及把专业知识规模化转化为视频内容的创作者。该平台让创作者无需摄影棚设备、专业配音演员或数周制作周期，也能生成专业 AI 视频。","声音位于 HeyGen 生成的每一支视频中心。对于受众已经熟悉其声音的知识型创作者来说，AI 声音必须就是他们自己的声音，不是通用旁白，也不是相近替代，而是带有受众熟悉口音的真实声音。这正是 AI 视频声音克隆必须达到的标准。","关于 Dubbing AI — 覆盖语音创作、克隆和变声的 1000 万用户。",{"_13525":13689,"_13527":13690},{"_5296":13691,"_5298":13692,"_5300":227},"Dubbing AI 是游戏玩家、主播和品牌创作者的语音层，让他们能够在自己活跃的平台上实时塑造、改变或克隆声音。","Dubbing AI 是一款本地端 AI 语音技术产品，在桌面端和移动端提供一站式语音创作、声音克隆和实时变声能力。该平台服务全球超过 1000 万用户，覆盖三类核心受众：","内容创作者和主播、个人娱乐用户，以及广告代理商和媒体公司等商业用户。",{"_5291":13694,"_5287":13695,"_5289":13696},{"_1095":13716,"_5580":13717},{"_1095":13706,"_5580":13707},{"_1095":13697,"_5580":13698},{"_5766":13702,"_5797":13703},{"_5766":13699,"_5797":13700},{"_210":4244,"_221":13701},"日本 AI 角色是最考验语音模型能力的使用场景。发音准确还不够。声音必须承载角色：具体的情绪层次、停顿的瞬间，以及让人感觉对方像一个真实的人而不只是听起来像人的温度。Pictoria 把这个标准设得比我们合作过的几乎任何团队都更高，而参与 Picto VOICE 也推动我们的模型在每次发布中继续向前。","Fish Audio 首席科学家",{"_210":13704,"_221":13705},"Fish Audio 持续推动日本市场所期待的高质量语音生成前沿。我们相信，拥有这种情感细腻度和角色表现力的声音，只能由真正热爱角色驱动内容的团队创造出来。感谢你们打造了如此出色的 TTS 技术。","Hayato Akedo","Pictoria 首席执行官",{"_5766":13712,"_5797":13713},{"_5766":13708,"_5797":13709},{"_210":13710,"_221":13711},"HeyGen 是最考验声音克隆质量的场景。知识创作者需要的不是一个听起来像他们的声音，而是一个真正像他们的声音，连口音也要保留下来。这个标准，也就是大多数 TTS 模型离开美式英语后会被拉平的标准，正是我们打造 S2 Pro 要跨越的标准。看到 HeyGen 用户在并排测试中以三比一选择 Fish，正是我们为这个模型而追求的验证。","Rissa Cao","Fish Audio 首席执行官",{"_210":13714,"_221":13715},"Fish 是一个非常出色的语音模型，能够最大化非常独特声音的相似度。","John Wu","HeyGen 音频工程经理",{"_5766":13720,"_5797":13721},{"_5766":13718,"_5797":13719},{"_210":13710,"_221":13711},"语音 agent 是所有语音 AI 取舍都会被放大的使用场景。它不能又快又平，也不能有表现力却很慢。Agent 必须用用户的语言，在实时对话中听起来真实。Dubbing AI 正在构建其中最难的版本：当用户不能或不想自己说话时，替用户发声的声音。标准是身份级真实感，而这正是我们打造 S2 Pro 要达到的标准。",{"_210":13722,"_221":13723},"Fish Audio 提供了出色的语音自然度、丰富的情绪表达，以及可靠的低延迟 TTS，完美支撑了我们核心 Voice Agent 产品体验。","Tiange Ling","Dubbing AI 首席执行官","行业","地区","受众","部署方式","迁移来源","语音栈","阅读时间","pick-a-method","选择创建方式",{"_23":13746,"_25":13747,"_13739":13748,"_13741":11707},{"_23":4240,"_25":13744,"_13739":13745,"_13741":11703},"professional",{"_23":13737,"_25":13738,"_13739":13740,"_13741":13742,"_11667":13743},"专业语音克隆","经过认证的真人录制,录音棚级音质,可选择商用发布与收益分成。","badge-duration","1-2 小时","badge-tag","录音棚级音质","已使用 {used}/{total} 个名额","用文字描述您想要的声音。","约 15 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