BigSpeak vs Deep Voice 3
Side-by-side comparison · Updated May 2026
| Description | BigSpeak is an advanced AI-driven platform providing state-of-the-art features like Text to Speech, Speech to Text, Text to Video, and Voice Cloning. With options to generate voices in multiple languages and genders, BigSpeak ensures high-quality, realistic voice outputs. Available through various pricing plans, including a free tier, the platform also supports audiobook generation and voice customization for any project. Users can also leverage Speech to Text capabilities for conversion of audio inputs into text files, making it a versatile tool for content creators, educators, and professionals. | Deep Voice 3 (DV3) is a leading-edge text-to-speech (TTS) technology developed by Baidu Research. Leveraging a fully convolutional attention-based neural architecture, DV3 converts text into high-quality, natural-sounding audio. This innovative architecture enables faster training times and enhanced scalability over previous models, making DV3 a leader in TTS technology. Its core components—the encoder, decoder, and converter—work in tandem to efficiently process text and convert it into speech. DV3 is applicable in various fields like assistive technologies, customer service, education, and IoT. Its superior features include rapid training, multi-speaker support, and high output quality, capable of handling millions of queries daily on a single GPU server. |
| Category | Text-To-Speech | Text-To-Speech |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Free |
| Starting Price | Free | Free |
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| Tags | Text to SpeechSpeech to TextText to VideoVoice Cloningaudiobook generation | text-to-speechneural architectureconvolutionalassistive technologiescustomer service |
| Features | ||
| Text to Speech | ||
| Speech to Text | ||
| Text to Video | ||
| Voice Cloning | ||
| Customized voice generation | ||
| Multilingual support | ||
| Free and premium plans | ||
| SuperClear Voices | ||
| Advanced email support | ||
| Machine learning algorithms for realistic voice output | ||
| Fully-convolutional architecture enabling fast training | ||
| Three main components: Encoder, Decoder, Converter | ||
| Supports multi-speaker synthesis with speaker embeddings | ||
| Produces high-quality, natural-sounding audio | ||
| Efficient training process, ten times faster than prior models | ||
| Robust attention mechanism maintaining alignment | ||
| Scalable query handling, managing up ten million queries daily | ||
| Integrates with vocoders like WaveNet and Griffin-Lim | ||
| View BigSpeak | View Deep Voice 3 | |
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